Eventos Patrocinados

ICPRAM 2019 – 8th International Conference on Pattern Recognition Applications and Methods
http://www.icpram.org

The ICPRAM Conference (The 8th International Conference on Pattern Recognition Applications and Methods) will take place from 19 to 21 of February 2019 in Prague, Czech Republic.

The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

CONFERENCE AREAS
1 . Theory and Methods
2 . Applications

CONFERENCE CHAIR
Ana Fred, Instituto de Telecomunicações / IST, Portugal

PROGRAM CO-CHAIRS
Maria De Marsico, Sapienza Università di Roma, Italy
Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy

LOCAL CHAIR
Michal Haindl, Institute of Information Theory and Automation, Czech Republic

KEYNOTE SPEAKERS
Linda G. Shapiro, University of Washington, United States
Bram van Ginneken, Radboud University Medical Center, Netherlands
Michal Irani, Weizmann Institute of Science, Israel
Davide Maltoni, University of Bologna, Italy

ICAART 2019 – 11th International Conference on Agents and Artificial Intelligence

http://www.icaart.org

The ICAART Conference (The 11th International Conference on Agents and Artificial Intelligence) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 19 to 21 of February 2019 in Prague, Czech Republic.

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

CONFERENCE AREAS
1 . Agents
2 . Artificial Intelligence

CONFERENCE CHAIR
Jaap van den Herik, Leiden University, Netherlands

PROGRAM CO-CHAIRS
Ana Paula Rocha, LIACC / FEUP, Portugal
Luc Steels, ICREA, Institute of Evolutionary Biology (UPF-CSIC) Barcelona, Spain

KEYNOTE SPEAKERS
Penousal Machado, University of Coimbra, Portugal
Carla P. Gomes, Cornell University, United States
Michal Pechoucek, Czech Technical University in Prague, Czech Republic

 

10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 18-20 September, 2018, Seville, Spain

http://www.kdir.ic3k.org

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

 

 

VISUM - Vision Understanding and Machine Intelligence Summer School

The sixth edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 5 and 13, July 2018, in Porto - Portugal. This year the following topics will be covered:

1. Computer Vision and Machine Learning
2. Affective Computing
3. Deep Learning
4. Statistical Shape Modelling
5. Human Behaviour Analysis
6. Brain Image Analysis

World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project.

Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning.

The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics.

Application deadline: 23 February 2018

Intended audience

In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore:

1. MSc and PhD students
2. Researchers and Post-doctoral scholars
3. Industry professionals

Social Program

Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You’ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we’ll tour the city and check some of its coolest spots.

List of invited speakers

Alejandro Frangi, University of Sheffield, UK
Björn W. Schuller, University of Augsburg, DE
Michel Valstar, University of Nottingham, UK
Jaime S. Cardoso, University of Porto, PT
Luís Teixeira, University of Porto, PT

Industry panel

IBM Research AI, IBM T. J. Watson Research Center / by John R. Smith, USA
Bosch / by to be announced
Tecnalia / by Thierry Keller, ES
Neadvance / by Manuel João Ferreira, PT
CardioID / by André Lourenço, PT

Website
visum.inesctec.pt

ICPRAM 2018 – 7th International Conference on Pattern Recognition Applications and Methods 

The ICPRAM Conference (The 7th International Conference on Pattern Recognition Applications and Methods) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 16 to 18 of January 2018 in Funchal, Madeira, Portugal.

The ICPRAM would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.

One of the most important contributions that ICPRAM brings about is the creation of a high level forum in collaboration with the most prestigious internationally recognized experts, including names such as Ana Fred (Instituto de Telecomunicações / IST, Portugal) as a Conference Chair and Maria De Marsico (Sapienza Università di Roma, Italy) and Gabriella Sanniti di Baja (ICAR-CNR, Italy) as a Program Co-Chairs.

As in previous editions, ICPRAM 2018 will have several invited keynote speakers, who are internationally recognized experts in their areas. At this time, we have confirmed the participation of the following keynote lectures:

  • Rita Cucchiara, University of Modena and Reggio Emilia, Italy;

  • Edwin Hancock, York University, United Kingdom;

  • Xiaoyi Jiang, University of Münster, Germany;

  • Alfred Bruckstein, Technion, Israel.

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.

ICAART 2018 – 10th International Conference on Agents and Artificial Intelligence

 The ICAART Conference (The 10th International Conference on Agents and Artificial Intelligence) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 16 to 18 of January 2018 in Funchal, Madeira, Portugal.

The purpose of ICAART is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. This conference welcomes original papers of either practical or theoretical nature, presenting research or applications, of specialized or interdisciplinary nature, addressing any aspect of Agents and Artificial Intelligence.

One of the most important contributions that ICAART brings about is the creation of a high level forum in collaboration with the most prestigious internationally recognized experts, including names such as Jaap van den Herik (Leiden University, Netherlands) as a Conference Chair and Ana Paula Rocha (LIACC-NIAD&R / FEUP, Portugal) as a Program Co-Chair.

As in previous editions, ICAART 2018 will have several invited keynote speakers, who are internationally recognized experts in their areas. At this time, we have confirmed the participation of the following keynote lectures:

- Luc Steels (Vrije Universiteit Brussel, Belgium;

- Virginia Dignum (Delft University of Technology, Netherlands);

- Eduard Hovy, Carnegie Mellon University, United States

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.

KDIR - 9th International Conference on Knowledge Discovery and Information Retrieval

The ninth edition of the IC3K (International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 1 to 3 of November 2017 in Funchal, Madeira in Portugal.
The purpose of the IC3K is to bring together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.
KDIR - 9th International Conference on Knowledge Discovery and Information Retrieval - http://www.kdir.ic3k.org/
KEOD - 9th International Conference on Knowledge Engineering and Ontology Development - http://www.keod.ic3k.org/
KMIS - 9th International Conference on Knowledge Management and Information Sharing - http://www.kmis.ic3k.org/

VISIUM 2016 - International Conference on Pattern Recognition Applications and Methods

We invite everyone with interests in computer vision to attend the 4th VISion Understanding and Machine intelligence summer school, at ATMOSFERA M in Porto, Portugal. At visum you can find an expert multicultural environment, aiming to foster junior researchers’ awareness of computer vision topics, as well as to enhance all attendees’ knowledge regarding the state of the art, provided by leading international experts on the field. Being an area of great potential in industrial applications with a strong increase in the number of researchers in these last years, visum summer school will be an incredible opportunity.

In partnership with APRP, Visum will provide a grant that covers the registration for an APRP member. The grant will be given according to the relevance of the applicant’s CV.

ICAART 2016 - 8th International Joint Conference on Agents and Artificial Intelligence

The eigth edition of the International Conference on Agents and Artificial Intelligence, ICAART 2016, will be held in Rome, Italy, 24-26 February, 2016.

The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Agile Management, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception, Data Mining, Data Science, Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

ICPRAM 2016 - International Conference on Pattern Recognition Applications and Methods

The fifth edition of the International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016, will be held in Rome, Italy, 24-26 February, 2016.

The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

KDIR - 8th International Conference on Knowledge Discovery and Information Retrieval

KDIR is part of IC3K, the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge.

Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload".
Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

Conference Chair
Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
Program Chair
Ana Fred, Instituto de Telecomunicações / IST, Portugal

ICPRAM - International Conference on Pattern Recognition Applications and Methods

The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.

Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

CIARP - Iberoamerican Congress on Pattern Recognition

Conference for the presentation of ongoing research in mathematical methods and computational techniques in pattern recognition in general: computer vision, image analysis, speech recognition, etc., as well as the applications of these techniques in areas related to robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, natural language processing and recognition. Moreover, it has been always a forum for exchanging scientific research experience, sharing new knowledge, andincreasing cooperation between research groups in pattern recognition and related areas in our geographical zone.

This event  was organized by the Chilean Association for Pattern Recognition (AChiRP), and it was sponsored by the International Association for Pattern Recognition (IAPR), Cuban Association for Pattern Recognition (ACRP) the Mexican Association for Computer Vision, Neural Computing and Robotics (MACVNR), the Special Interest Group on Pattern Recognition of the Brazilian Computer Society (SIGPR-SBC), the Spanish Association for Pattern Recognition and Image Analysis (AERFAI) and the Portuguese Association for Pattern Recognition (APRP).

Biomimaging - International Symposium in Applied Bioimaging

No seguimento da inauguração do Bioimaging Centre for Biomaterials and Regenerative Therapies do INEB foi lançado uma série de simpósio em Applied Bioimaging, em colaboração com o IBMC e o IPATIMUP.

O curso direcciona-se para participantes com interesse em aplicações de bioimaging, especialmente na área dos biomateriais, engenharia de tecidos e medicina regenerativa.

A participação equivale a 1.5 créditos ECTS (European Credit Transfer System).

A primeira e segunda edição do simpósio contaram com os tema: Bridging Development and Application e From Molecule to Man, respectivamente e tiveram a duração de dois dias, precedidos de um workshop experimental em bioimaging. As palestras têm um tom muito informal e os participantes são encorajados a trazerem questões que poderão contribuir para o avanço no conhecimento na àrea de Bioimagem aplocada e Biomateriais e Regenração através de uma abordagem interactiva.

A European Science Foundation, dentro do projecto REMEDIC, fornece apoio financeiro a estudantes universitários e post-docs para apresentarem o seu trabalho neste simpósio.

VISUM Summer School - VISion Understanding Machine intelligence summer school

visum 2014 is the second VISion Understanding and Machine intelligence (visum) Summer School that targets to gather at Faculdade de Engenharia da Universidade do Porto, Portugal, Ph.D. candidates, Post-Doctoral scholars and researchers from academia and industry with research interests in computer vision and machine intelligence.

After the tremendous success of the visum 2013 we decided to give continuity to this school.

Considering the existing gap between the most fundamental concepts of computer vision and their application in real world scenarios, the realisation of visum school seeks to bridge these two key domains. By creating an expert multicultural environment, visum school aims to foster junior researchers’ awareness of computer vision topics, as well as to enhance all attendees’ knowledge regarding the state of the art, provided by leading international experts on the field. Being an area of great potential in industrial applications with a strong increase in the number of researchers in these last years, visum school will be an incredible opportunity to be on the edge of knowledge.

visum will comprise three main tracks: fundamental, industrial and application topics, each one with extensive practical `hands-on’ sessions. A poster session will be organized especially dedicated, but not exclusive, to Ph.D. candidates. With this, researchers can discuss their current research works, possibly leading to significant breakthroughs in the development of their theses. In the industrial track, national and international renowned institutions will present their case studies and knowingness to the attendees. visum will have a track dedicated to applications with the aim to bridge the gap between the fundamental and industrial topics, each year with a different subject.

Target Audience
  • MSc. and Ph.D. candidates;
  • Post-Doctoral scholars and researchers;
  • Academic and industrial professionals with (research) interests in computer vision;
  • And, everyone who wants to have knowledge of topics avant-garde.
Posted in Uncategorized

Prémios APRP

A Associação Portuguesa de Reconhecimento de Padrões (APRP) tem como um dos objetivos a promoção de avanços, quer na teoria quer nas aplicações práticas, da disciplina científica do reconhecimento de padrões.

De acordo com esta sua postura, a APRP institui os Prémios APRP para Melhor Tese de Doutoramento e para Melhor Tese de Mestrado, com a finalidade de distinguir trabalhos de mérito elevado na área de Reconhecimento de Padrões, estimulando jovens investigadores portugueses a divulgarem os seus trabalhos. A atribuição do prémio rege-se pelo seguinte regulamento:

Melhor Tese de Mestrado

RequisitosCandidaturasAvaliaçãoValorHistórico

  • A tese ter sido defendida numa instituição do ensino superior português
  • A tese ser na área de reconhecimento de padrões
  • O candidato ter menos de 30 anos no momento da defesa da tese
  • Ter sido defendida entre 1 de Setembro de 2017 e 31 de Agosto de 2018
  • Estar escrita em Português ou em Inglês
  • Os trabalhos deverão ter um único autor, constituindo o envio a este prémio um compromisso de honra de autenticidade.


Até 30 de agosto de 2018, enviando para o email aprp@fe.up.pt um ficheiro zip contendo:

a) Um exemplar da dissertação de Mestrado em formato pdf;

b) Uma carta de recomendação do orientador;

c) Uma carta de recomendação do arguente (facultativa mas encorajada);

d) Curriculum Vitae do autor;

e) Certificado de conclusão do grau. O ‘assunto’ do email deverá incluir “Prémio APRP Melhor Tese de Mestrado”.


Os trabalhos, que têm obrigatoriamente de ser submetidos em nome individual, são avaliados por um júri constituído por um grupo de cientistas portugueses de elevado prestígio internacional e reconhecidamente líderes das principais áreas do conhecimento a que o Prémio está associado, e por um representante da APRP.

O Júri reserva-se o direito de não atribuir qualquer prémio, se decidir que nenhum dos trabalhos apresentados satisfaz os requisitos de qualidade e inovação ou está conforme as regras deste regulamento. O Júri é soberano nas decisões tomadas e reserva-se o direito de solicitar quaisquer esclarecimentos sobre os trabalhos apresentados, que poderão ir até à verificação dos resultados ou dispositivos descritos, se for caso disso.

A atribuição do Prémio será anunciada no Encontro  Científico  RecPad  2017 e divulgada publicamente.

  • Certificado
  • Oferta da Inscrição no RecPad 2019
  • Prémio monetário de 150 Euros

  • 2017: “Deep Learning Applied to PMU Data in Power Systems” -Pedro Emanuel Almeida Cardoso
  • 2015: “Supervised Topic Models with Multiple Annotators” – Mariana Rodrigues Lourenço
  • 2014: “Analysis of Expressiveness of Portuguese Sign Language Speakers” –  Maria Inês Coutinho Vigário Rodrigues

Melhor Tese de Doutoramento

RequisitosCandidaturasAvaliaçãoValorHistórico

  • A tese ter sido defendida numa instituição do ensino superior português
  • A tese ser na área de reconhecimento de padrões
  • O candidato ter menos de 36 anos no momento da defesa da tese
  • Ter sido defendida entre 1 de Janeiro de 2017 e 31 de Dezembro de 2018
  • Estar escrita em Português ou em Inglês
  • Os trabalhos deverão ter um único autor, constituindo o envio a este prémio um compromisso de honra de autenticidade.


Até 31 de Janeiro de 2019, enviando para o email aprp@fe.up.pt um ficheiro zip contendo:

a) Um exemplar da dissertação de Doutoramento em formato pdf;

b) Uma carta de recomendação do orientador;

c) Uma carta de recomendação do arguente (facultativa mas encorajada);

d) Curriculum Vitae do autor;

e) Certificado de conclusão do grau. O ‘assunto’ do email deverá incluir “Prémio APRP Melhor Tese de Doutoramento”.


Os trabalhos, que têm obrigatoriamente de ser submetidos em nome individual, são avaliados por um júri constituído por um grupo de cientistas portugueses de elevado prestígio internacional e reconhecidamente líderes das principais áreas do conhecimento a que o Prémio está associado, e por um representante da APRP.

O Júri reserva-se o direito de não atribuir qualquer prémio, se decidir que nenhum dos trabalhos apresentados satisfaz os requisitos de qualidade e inovação ou está conforme as regras deste regulamento. O Júri é soberano nas decisões tomadas e reserva-se o direito de solicitar quaisquer esclarecimentos sobre os trabalhos apresentados, que poderão ir até à verificação dos resultados ou dispositivos descritos, se for caso disso.

A atribuição do Prémio será anunciada no Conferência internacional IbPRIA 2019 e divulgada publicamente.

  • Certificado
  • Oferta da Inscrição no RecPad 2019
  • Prémio monetário de 200 Euros


  • 2017: “Probabilistic models for learning from crowdsourced data” – Filipe Manuel Pereira Duarte Rodrigues
  • 2015: “Organizing Data Combining Multiple Sources Of Information” – André Ribeiro Lourenço



Posted in Uncategorized

Assembleia Geral – Convocatória

Convocam-se os sócios da APRP - Associação Portuguesa de Reconhecimento de Padrões para a Assembleia Geral Ordinária que decorrerá no Funchal, Madeira, no decurso do IbPRIA 2013, no dia 4 de Junho pelas 18h em local a determinar, com a seguinte ordem de trabalhos:

  • Informações
  • Apreciação do Relatório de Contas de 2012
  • Eleição dos Orgãos Sociais da APRP
  • Balanço provisório da organização e resultados do IbPRIA 2013
  • RecPad 2013
  • Outros Assuntos

De acordo com os Estatutos da Associação, fica convocada, em segunda chamada, a Assembleia Geral Ordinária, para o dia seguinte, à mesma hora, em local a determinar, pelas 18:30, caso não se verifique, na primeira chamada, o quórum necessário.

 

Posted in Assembleia Geral

Ligações

 
Universidade de Coimbra

Rua Larga 
Edifício Faculdade de Medicina (R/Ch. Esq.)
3004-504 Coimbra
Telefone: +351 239 859 900
Fax:+351 239 827 994
E-mail: gabadmin@uc.pt

Website:  http://www.uc.pt
 
 
INEB
INEB-Instituto de Engenharia Biomédica
Universidade do Porto
Rua do Campo Alegre, 823 4150-180 Porto, Portugal
Tel: +351 226074900 | E-mail: info@ineb.up.pt
Website: http://www.ineb.up.pt
feup
Faculdade de Engenharia da Universidade do Porto
Rua Dr. Roberto Frias, s/n
4200-465 Porto, PORTUGAL
Tel: +351 22 508 14 00 | Fax.: (+351) 22 508 14 40
E-mail: feup@fe.up.pt
Website: http://www.fe.up.pt/
ISR-IST
Institute for Systems and Robotics - Lisbon
Torre Norte - 7º Piso, Av.Rovisco Pais, 1
1049-001, Lisboa, Portugal
Tel: +351 218418289 | Fax: +351 218418291
E-mail: info@isr.ist.utl.pt
Website:http://welcome.isr.ist.utl.pt/
IST
Instituto Superior Técnico - Universidade de Lisboa
Av.Rovisco Pais, 1, 1049-001, Lisboa, Portugal
Tel: +351 218417000 | Fax: +351 218499242
Website:http://www.ist.utl.pt/
Posted in Uncategorized

RECPAD

Portuguese Conference on Pattern Recognition.

Conferência nacional que pretende promover a colaboração entre a comunidade científica Portuguesa nas áreas de Reconhecimento de Padrões, Análise e Processamento de Imagem, Computação e áreas relacionadas.

É co-organizada por uma entidade diferente e em local diferente todos os anos, com o propósito de potenciar estas áreas de investigação em diversas regiões do país com relevância científica.

Os trabalhos são submetidos como Extended Abstracts no formato final de artigos completos de duas páginas e avaliados pelo comité técnico da organização. Os artigos são compilados e distribuídos em formato electrónico apenas.

20182017201620152014201320122011201020092007200820022000

RecPad 2018

RECPAD is the annual Portuguese Conference on Pattern Recognition, sponsored by APRP (Portuguese Association for Pattern Recognition). It is a one-day conference with an invited keynote speaker and poster sessions along the day. This year, RECPAD2018 will be held at the Centro Cultural D. Dinis, in the heart of the UNESCO World Heritage site of the University of Coimbra , on October 26th, 2018. Please feel extremelly welcome!

http://recpad2018.dei.uc.pt

Organizing Committee
  • Bernardete Ribeiro
  • Hélder Araújo
  • Catarina Silva
  • César Teixeira
  • Joel Arrais
  • Joana Costa
  • Francisco Antunes

Orador convidado

Bio

Vincenzo Piuri has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano, Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA.

His main research interests are: intelligent systems, signal and image processing, machine learning, pattern analysis and recognition, theory and industrial applications of neural networks, biometrics, intelligent measurement systems, industrial applications, fault tolerance, digital processing architectures, and cloud computing infrastructures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.

He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He is Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Transactions on Computers and the IEEE Transactions on Cloud Computing, and has been Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement.

He received the IEEE Instrumentation and Measurement Society Technical Award (2002). He is Honorary Professor at Obuda University, Budapest, Hungary, Guangdong University of Petrochemical Technology, China, Muroran Institute of Technology, Japan, and the Amity University, India.

Computational Intelligence for Biometric Technologies and Applications

 

Local
Coimbra, Portugal
Data
10 October 2018
Website
http://recpad2018.dei.uc.pt
Logo
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RecPad 2017

23rd edition of the Portuguese Conference On Pattern Recognition
Esta edição do Recpad foi organizada por um comité da Academia Militar e decorreu na Academia Militar.
Comité organizativo
  • Jose Silvestre Serra Silva, Chairman, (Academia Militar);
  • Jorge Paulo Alves Torres, (Academia Militar);
  • Pedro Nuno Mendonça dos Santos, (Academia Militar);
  • Thomas Peter Gasche, (Academia Militar).

Orador convidado

Bio

Paul Scheunders received the Ph.D. degree in physics, with work in the field of statistical mechanics, from the University of Antwerp, Antwerp, Belgium, in 1990. In 1992, he became a research associate with the Vision Lab, Department of Physics, University of Antwerp, where he is currently a professor. His current research interest includes remote sensing and in particular hyperspectral image processing. He has published over 150 papers in international journals and proceedings in the field of image processing, pattern recognition and remote sensing.

Paul Scheunders is associate editor of the IEEE Transactions in Geoscience and Remote Sensing, and has served as program committee member in numerous international conferences. He is senior member of the IEEE Geoscience and Remote Sensing Society.

Machine Learning for remote sensing image analysis

In this talk, he will describe the state of the art on the development and application of machine learning methodologies in the remote sensing domain. He will also describe the specific remote sensing analysis problems that are typically handled by machine learning. On important type of sensor is the hyperspectral image sensor. Hyperspectral image sensors have been important tools for the characterization of materials based on their light reflectance mainly in remote sensing but in other domains as well. Hyperspectral images contain many spectral bands, each revealing the earth surface reflected light at a particular wavelength. These hyperspectral images require specific image processing and analysis methodologies. In this talk, an overview will be given of recent developments of machine learning in hyperspectral image analysis. Some of the strategies that are elaborated on are kernel methods, neural network methods, manifold learning methods, structured output methods, ensemble learning methods and sparse learning methods.

Local
Academia Militar
Data
10 October 2017
Website
http://academiamilitar.pt/recpad2017.html
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RecPad 2016

22th edition of the Portuguese Conference On Pattern Recognition
Esta edição do Recpad foi organizada por um comité da Universidade de Aveiro e decorreu na Universidade de Aveiro.
Comité organizativo
  • Armando J. Pinho (UA)
  • Diogo Pratas (UA)
  • Raquel Sebastião (UA)
  • Samuel Silva (UA)
  • Sónia Gouveia (UA)
  • Susana Brás (UA)
Portuguese Association for Pattern Recognition  

Orador convidado

OLYMPUS DIGITAL CAMERA

Bio

Joan Serra-Sagristà (IEEE Senior Member 2011) received the Ph.D. degree in computer science from Universitat Autònoma de Barcelona (UAB), Spain, in 1999. He is currently an Associate Professor at Department of Information and Communications Engineering, UAB. He holds the Accreditation as Full Professor from both Spanish ANECA and Catalan AQU Catalunya. From September 1997 to December 1998, he was at University of Bonn, Germany, funded by DAAD. His current research interests focus on data compression, with special attention to image coding for remote sensing and telemedicine applications. He serves as Associate Editor of IEEE Trans. on Image Processing and as Program Committee co-chair for IEEE Data Compression Conference. He has co-authored over one hundred publications. He was the recipient of the Spanish Intensification Young Investigator Award in 2006.

Remote sensing data compression

This talk describes recent developments in several areas of remote sensing data compression. The first part of the talk will introduce the current status of Earth Observation missions and the need for efficient data transmission, where data compression plays a significant role. The second part of the talk will be dedicated to onboard compression of remote sensing data, in particular to recent and ongoing work developed by the main space agencies. The third part of the talk will introduce some of our own recent developments in this field.

 

Local
UA – Universidade de Aveiro
Data
10 October 2016
Website
http://recpad2016.web.ua.pt
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RecPad 2015

21th edition of the Portuguese Conference On Pattern Recognition
Esta edição do Recpad foi organizada por um comité da Universidade do Algarve e decorreu no Instituto Superior de Engenharia da Universidade do Algarve.
Comité organizativo
Universidade do Algarve Portuguese Association for Pattern Recognition Cintal  
Patrocinadores
Foi patrocinado pela SPIC e pelo Hotel EVA. SPIC Hotel EVA

Orador convidado

norbert_kruger

 

Norbert Krüger

Maersk MC-Kinney Moller Institute for Production Technology,

Technical Faculty at the University of Southern Denmark.

Denmark

 

Bio

Norbert Krüger has been employed at the University of Southern Denmark since 2006 (first as an Associate Professor and then as a full Professor (MSO) since 2008). He is one of the two leaders of the Cognitive and Applied Robotics Group (CARO, caro.sdu.dk) in which currently 12 PhD students, two Assistant and two Associate Professor as well as 8 master students are working. Norbert Krüger’s research focuses on Cognitive Vision, in particular vision based manipulation and learning. He has published 45 papers in journals and more than 80 papers at conferences covering the topics computer vision, robotics, neuroscience as well as cognitive systems. His H-index is 24. His group has developed the C++-software CoViS (Cognitive Vision Software) which is now used by a number of groups in national as well as European projects. He is currently involved in 2 European projects as well as 4 Danish projects.

 

Deep Hierarchies in Human and Computer Vision

Computer vision – although being still a rather young scientific discipline – in the last decades was able to provide some impressive examples of artificial vision systems that outperform humans. However, the human visual system is still superior to any artificial vision system in visual tasks requiring generalization and reasoning (often also called ‘cognitive vision’) such as extraction of visual based affordances or visual tasks in the context of tool use and dexterous manipulation of unknown objects.

Two decades ago, there has been a strong connection between the two communities dealing with human vision research and computer vision. This link however has been somehow lost recently and computer vision has been more and more developed into a sub-field of machine learning. In this talk, I argue that the reason for the superiority of human vision for ‘cognitive vision tasks’ is connected to the deep hierarchical architecture of the primate’s visual system.

The talk is divided into two parts: First, I will give an overview about today’s knowledge about the primate’s (and by that the human’s) visual system primarily based on neurophysiological research. This part is based on the paper (Kruger et al. 2013, IEEE PAMI) and is in particular addressing computer vision and machine learning scientists as audience.

In the second part of the talk, I will describe a three level hierarchical cognitive robot system in which actions are learned by observing humans performing these actions (Kruger et al. 2013, KI). Learning is taking place at the different levels of the hierarchy in rather different representations. On the sensory-motor level, the shape and appearance of objects as well as optimal action trajectories and force torque profiles are represented. On the mid-level, a discrete visual representation based on semantic event chains (Aksoy et al. 2011) bridges towards the planning level, the highest representational level. I will describe different the learning problems on the different representational levels and their interaction.

 

Local
ISE – Universidade do Algarve
Data
9 September 2015
Website
http://recpad2015.ualg.pt/
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RecPad 2014

20th edition of the Portuguese Conference on Pattern Recognition.
Esta edição do Recpad foi organizada por um comitté do University of Beira Interior e decorreu no Museu Royal Veiga Factory.
Comité organizativo
University of Beira Interior   Portuguese Association for Pattern Recognition   Soft Computing and Image Analysis Group  
Patrocinadores
Foi patrocinado pela EyeSee Lda e pela INDRA PortugalInova Prime.   EyeSee Solutions    INDRA Portugal     Inova Prime  

Orador convidado

francesc_moreno

 

Associate Researcher
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)
Barcelona, Spain

Bio

Francesc Moreno-Noguer received the MSc degrees in industrial engineering and electronics from the Technical University of Catalonia (UPC) and the Universitat de Barcelona in 2001 and 2002, respectively, and the PhD degree from UPC in 2005. From 2006 to 2008, he was a postdoctoral fellow at the computer vision departments of Columbia University and the Ecole Polytecnique Fédérale de Lausanne. In 2009, he joined the Institut de Robòtica i Informàtica Industrial in Barcelona as an associate researcher of the Spanish Scientific Research Council. His research interests include retrieving rigid and nonrigid shape, motion, and camera pose from single images and video sequences, with applications to both robotics and medical imaging. He received UPC’s Doctoral Dissertation Extraordinary Award for his work and an outstanding reviewer award at ECCV’12 and CVPR’14. Further information can be found at http://www.iri.upc.edu/people/fmoreno/.

Monocular 3D detection of rigid and non-rigid shapes

In this talk, I will first present an approach to the PnP problem, the estimation of the pose of a calibrated camera from n point correspondences between an image and a 3D model of a rigid object, whose computational complexity grows linearly with n. Our central idea is to express the 3D points as a weighted sum of four virtual control points. The problem then reduces to estimating the coordinates of these control points in the camera coordinate system, which can be done in O(n) using simple linearization techniques. I will then show how an algebraic outlier rejection scheme can be introduced within the computation of the pose, without the need to resort to RANSAC-based strategies.

In the second part of the talk I will show how the same linear formulations can be extended to retrieving the shape of 3D deformable objects. However, since monocular non-rigid reconstruction is severely under-constrained we will have to consider additional constraints, either based on local rigidity (to reconstruct deformable and inextensible surfaces), or based on shading coherence (to reconstruct deformable and stretchable surfaces). Finally I will discuss the major limitations of these linear formulations and propose a novel and alternative stochastic exploration strategy. I will present results both for non-rigid shape and human pose recovery.

Local
Royal Veiga Factory
Data
10 October 2014
Website
http://recpad2014.di.ubi.pt/
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RecPad 2013

19th edition of the Portuguese Conference on Pattern Recognition.
Esta edição do Recpad foi organizada por um comitté do Instituto Superior Técnico
  • João Sanches – General chair (ISR / IST)
  • Manya Afonso – Local chair (ISR / IST)
  • David Afonso – Informatics (ISR / IST)
  • Alexandre Domingues (ISR / IST)
  • Martina Fonseca (ISR / IST)
  • Anastasiya Strembitska (ISR / IST)
Logo Instituto Superior Técnico

Orador convidado

Ana Fred

Bio

Ana L.N. Fred received the MS and PhD degrees in electrical and computer engineering, in 1989 and 1994, respectively, both from the Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal.

She has been a faculty member of IST since 1986, where she is currently a professor (Professora associada com agregação) with the Department of Electrical and Computer Engineering.

She is a researcher at the Communication Theory and Pattern Recognition Group of the Institute of Telecommunications. Her research interests include information theory, pattern recognition, signal processing, and artificial intelligence.

Título:

PHYSIOLOGICAL COMPUTING – A PATTERN RECOGNITION PERSPECTIVE

Local
Instituto Superior Técnico, Lisboa
Data
11 November 2013
Website
http://soma.isr.ist.utl.pt/recpad/
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RecPad 2012

18th edition of the Portuguese Conference on Pattern Recognition.

RecPad was organized by:

Organizing Committee

  • Nuno Cid Martins
  • Verónica Vasconcelos
  • Fernando Lopes
  • Inácio Fonseca
  • Jorge Barbosa
  • Nuno Rodrigues
  • Simão Paredes
Local Technical Support
  • Inês Duarte
  • Teresa Jorge

Orador convidado

Carlos Gonzalez-MorcilloBio

Carlos Gonzalez-Morcillo is an Associate Professor of Computer Science at the University of Castilla-La Mancha (Spain). He received the BsC and PhD degrees in Computer Science from the University of Castilla-La Mancha in 2002 and 2007, respectively. His research interests include Distributed Rendering, Augmented Reality, MultiAgent Systems, and Intelligent Surveillance. Dr Morcillo has worked in the fields of Computer Vision and Data Mining at the Software Competence Center Hagenberg (Austria). He is Blender Foundation Certified Trainer and member of the Eurographics Society. He is also co-author of the Spanish book Fundamentals of 3D Image Synthesis, a practical approach with Blender. Further information can be found at http://www.esi.uclm.es/www/cglez

Indoor Navigation Infrastructure based on Augmented Reality Techniques

Indoor navigation systems have represented a hot research topic for the research community with many different proposals to position people and keep track of their movements. In this lecture, Dr. Morcillo will take a step forward describing an object-oriented distributed architecture for highly scalable indoor navigation systems. The idea behind this architecture is to assist people with different needs while they stay in large spaces or buildings, such as public administration buildings, transport facilities, hospitals and so on, helping them reach their goals in such environments.

In this context, the use of Augmented Reality techniques boosts the concept of mobility thanks to the underlying architecture, integrating heterogeneous hardware devices and tracking methods. The resulting platform is a multi-layered scalable architecture based on autonomous agents. The most relevant work carried out by the Applied Artificial Intelligence Research Group at the University of Castilla-La Mancha will be also discussed.

Local
Coimbra
Data
10 October 2012
Website
http://www.isec.pt/recpad2012/
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RecPad 2011

17th edition of the Portuguese Conference on Pattern Recognition
Organizing Committee Local Technical Support

Orador convidado

Daniel Gatica-PerezBio

Daniel Gatica-Perez is a senior researcher at Idiap Research Institute and the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, where he directs the Social Computing Group. His research integrates methods from multimedia signal processing, machine learning, ubiquitous computing, and social sciences to develop computational models for human and social behavior analysis from sensor data. His recent work has studied small groups at work in multisensor spaces, populations of smartphone users in urban environments, and on-line communities in social media. His work
has been supported by the Swiss and US governments, the European Union, and industry. Among several professional activities, he currently serves as Associate Editor of the IEEE Transactions on Multimedia, Image and Vision Computing, and the Journal of Ambient Intelligence and Smart Environments.

Reality Mining for Real: Large-Scale Human Behavior and Smartphone Data

The large-scale understanding of personal and social behavior from smartphone sensor data is an emerging trend in computing. Smartphones can constantly sense human location, motion, proximity, and communication, and represent one of the most accurate means of tracing human activities. All this data,as never before, is being generated at massive scales.

I will present an overview of recent work in my research group in this domain, which is addressing mobile sensing, data analysis, and applications. I will first describe our experience with the collection of a rich corpus of real life data using smartphones as sensors, and discuss a few of the many associated challenges – both human and technological. I will then present computational methods that we have developed to discover a variety of patterns, including daily routines of individuals, trends of phone application usage, social interaction types, and personality traits. I will finally discuss about open issues in this domain.

Local
Casa da Música, Porto
Data
10 October 2011
Website
http://paginas.fe.up.pt/~recpad2011
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RecPad 2010

16th Portuguese Conference on Pattern Recognition
Organizing Committee
  • Paulo Salgado
  • João A. Pavão
  • Pedro Couto

Orador convidado

chamorro< Inserir foto com CCS class de “conference-guest-img” >

Bio

Jesús Chamorro Martinez – jesus@decsai.ugr.es  | Associate professor

Department of Computer Science and Artificial Intelligence – University of Granada

Jesús Chamorro was born in 1972. He received the MS and PhD degrees, both in Computer Science, from the University of Granada in 1995 and 2001 respectively. Since 1996, he is member of the Computer Science Department at the University of Granada where he is now an Associate Professor. His research interests include motion analysis and optical flow estimation, information retrieval from image databases, soft computing image processing, and biomedical image analysis. He has participated in several projects from the Spanish Research Council (CICYT) and currently he is participating in the Spanish FIS project “Imagen Médica Molecular y Multimodalidad” (IM3).

Multiple Motion Segmentation based on Spatio-temporal Volume Recognition. Application to Optical flow estimation

In this lecture, a new methodology for extracting motion patterns is applied to optical flow estimation in the presence of multiple motions. The proposed approximation deals with the problem in two stages. In the first one, the most important motions are segmented; in the second one, the optical flow is estimated on the basis of the motions detected in the previous stage. To extract relevant motions, a new approach based on a spatio-temporal filtering is presented. The approach groups together parts of a moving object that have been separated into various filter responses because of the object’s spatial structure, thereby avoiding the spatial dependency problem associated with a representation based on spatio-temporal filters. The proposed model, therefore, generates one “motion pattern” for each motion detected in the sequence. To obtain an optical flow estimation, which is able to represent multiple velocities, the gradient constraint is applied to the output of each filter so that multiple estimations of the velocity at the same location may be obtained. For each “motion pattern” detected in the previous stage, the velocities at a given point corresponding to the same motion are then combined using a probabilistic approach. In the application to optical flow estimation, the use of “motion patterns” allows multiple velocities to be represented, while the combination of estimations fromdifferent filters helps reduce the aperture problem. This technique is illustrated on real and simulated data sets, including sequences with occlusion and transparencies.

Local
Vila Real
Data
4 April 2010
Website
http://recpad2010.utad.pt/
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RecPad 2009

15th Portuguese Conference on Pattern Recognition

Orador convidado

 

RecPad 2007

13ª Conferência Portuguesa de Reconhecimento de Padrões
Comissão Organizadora
  • Pedro Pina (Chair, IST)
  • José Saraiva (IST)
  • Cristina Lira (IST)
  • Michele Mengucci (IST)
  • Nuno Benavente (IST)
  • Lourenço Bandeira (IST)
Comissão de Programa 
  • Aurélio Campilho (INEB/FEUP)
  • Beatriz Sousa Santos (Univ. Aveiro)
  • Helder Araújo (Univ. Coimbra)
  • João Rogério Caldas Pinto (IST)
  • Pedro Pina (IST)

Orador convidado

julio cesarJúlio Martín-Herrero, Professor da Escuela Técnica Superior de Ingenieros de Telecomunicación da Universidade de Vigo em Espanha, que tem como principais interesses de investigação o Processamento de Imagem e Visão Artificial, a Análise Espacial e as suas aplicações multidisciplinares. O título da apresentação que irá efectuar é o seguinte:

Robust Oil Slick Identification in Synthetic Aperture Radar Images with Support Vector Machines

 

Local
Lisboa
Data
10 October 2007
Website
http://cerena.ist.utl.pt/recpad2007.htm
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RecPad 2008

14ª Conferência Portuguesa de Reconhecimento de Padrões
Comissão Organizadora
  • Jorge Batista (Chair,ISR/FCTUC)
  • Helder Araújo (ISR/FCTUC)
  • Paulo Peixoto (ISR/FCTUC)
  • Gonçalo Monteiro (ISR)
  • Pedro Martins (ISR)

Orador convidado

jordi gonzalesDr. Jordi Gonzàlez, Investigador no Institut de Robòtica i Informàtica Industrial (UPC-CSIC), Espanha.

Dr. Jordi Gonzàlez obtained his PhD degree in 2004, from Universitat Autònoma de Barcelona. At present he is a Juan de la Cierva postdoctoral researcher at the Institut de Robòtica i Informàtica Industrial (UPC-CSIC). The topic of his research is the cognitive evaluation of human behaviours in image sequences. The aim is the generation of both linguistic descriptions and virtual environments, which explain those observed behaviours. He has more than 70 publications about his research on active camera control; segmentation and tracking; human action recognition; human behaviour understanding and interpretation; natural language text generation; and automatic behavioural animation. He has also participated as a WP-leader in the European projects HERMES and VIDI-Video, and as a member in the euCognition network. He co-founded the Image Sequence Evaluation research group at the CVC in Barcelona.

Towards Human Sequence Evaluation

During the past three decades, important research efforts in computer vision have been focused on developing theories, methods and systems applied to the description of human movements in image sequences. Broadly speaking, in the past the main goal was the estimation of quantitative parameters describing where was motion. Nowadays, the focus is on the analysis of image sequences incorporating cognitive processes which allow to understand recorded movements. That is, the true challenge is the generation of qualitative descriptions about the meaning of motion, therefore understanding not only where, but also why motion is being observed. Towards this end, very few Cognitive Vision Systems (CVS) have been proposed in the literature, which typically encompass topics not only related to computer vision, but also to artificial intelligence and computational linguistics. In this talk we will restrict cognition to assure the generation of plausible semantic interpretations of human movements observed in image sequences. In this context, the term Human Sequence Evaluation (HSE) denotes those transformation processes involved in the textual descriptions of human behaviour from pixel values. Mainly, three co‐operating goals are involved in HSE: (i) a geometric description of the recorded human movements is first obtained; (ii) subsequently, these quantitative parameters are used to instantiate logic predicates; and (iii) textual representations are built upon these conceptual primitives for Natural‐Language (NL) text generation.
Local
Coimbra
Data
10 October 2008
Website
http://recpad2008.isr.uc.pt/
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RecPad 2002

12th Portuguese Conference on Pattern Recognition

RecPad 2000

11th Portuguese Conference on Pattern Recognition
recpad2000
Local
Porto
Data
5 May 2000
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