CIARP 2016 XXI Iberoamerican Congress on Pattern Recognition Pontificia Universidad Católica del Perú 8-11 November 2016, Lima, Peru www.ciarp.org
Final Program
WIFI Network Name: redPUCP Password: C9AA28BA93
Maestría en Informática Sección Ingeniería Informática Grupo de Reconocimiento de Patrones e Inteligencia Artificial Aplicada
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Highlight Topics The attendees of the CIARP 2016 will learn and understand how Artificial Intelligence and Deep Learning is applied across industries, ranging from medical to retail, life science and autonomous vehicles.
Neural Networks
Machine Learning
Deep Learning
Computing System
Natural Language Processing
Computer Vision
Sentiment Analysis
Voice Recognition
Image Retrieval
Autonomous Vehicle
Big Data
Internet of Things
Additional links: http://agenda.pucp.edu.pe/evento/ciarp-2016/ http://posgrado.pucp.edu.pe/evento/congreso-xxi-iberoamerican-congress-on-pattern-recognition/
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 Program Committee
Adrian Bors, University of York, Deramoure Lane, UK Akira Asano, Kansai University, Kansain Yliopisto, Japan Alberto Sanfeliu, Universitat Politècnica de Catalunya, Barcelona, Spain Aldo Camargo, Pontificia Universidad Católica del Perú, Lima, Perú Alessia Saggese, University of Salerno, Fisciano, Italy Alexander Gelbukh, Instituto Politécnico Nacional, México City, Mexico Alexandre Falcão, University of Campinas (Unicamp), Campinas, Brazil Alfonso Estudillo-Romero, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico Alfredo Petrosino, Parthenope University of Naples, Napoli, Italy Alicia Fernandez, Universidad de la República, Montevideo, Uruguay Alvaro Pardo, Universidad Católica del Uruguay, Montevideo, Uruguay Alvaro Gómez, Universidad de la República, Montevideo, Uruguay Anders Hast, Uppsala University, Uppsala, Sweden Andrés Gago-Alonso, CENATAV, La Habana, Cuba Antoni Grau-Saldes, Polytechnic University of Catalonia, Barcelona, Spain Antonio Rodriguez-Sanchez, University of Innsbruck, Tyrol, Austria Antonio-José Sánchez-Salmerón, Universitat Politècnica de València, Valencia, Spain Arnaldo Araujo, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil Axel Soto, Dalhousie University, Halifax, Nova Scotia, Canada Bárbara Poblete, Universidad de Chile, Santiago, Chile Benjamin Castañeda, Pontificia Universidad Católica del Perú, Lima, Peru Bernadete Ribeiro, University of Coimbra, Portugal Bilge Gunsel, Istanbul Technical University, Istanbul, Turkey B.S. Manjunath, University of California, Santa Barbara, USA Boris Escalante Ramírez, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico Carmen Paz Suárez-Araujo, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain Cecilia Aguerrebere, Duke University, Durham, USA Cesar San Martin, Universidad de la Frontera, Temuco, Chile César Beltrán Castañón, Pontificia Universidad Católica del Perú, Lima, Perú Chen Sagiv, Sagiv Tech. Ltd., Tel Aviv, Israel Claudio Moraga, Universität Dortmund, Dortmund, Germany Claudio De Stefano, Università di Cassino e del Lazio Meridionale, Cassino, Italy Constantinos Pattichia, University of Cyprus, Nicosia, Republic of Cyprus Daniel Acevedo, Universidad de Buenos Aires, Buenos Aires, Argentina David Menotti, Universidade Federal de Ouro Preto, Ouro Preto, Brazil Denis Laurendeau, Université Laval, Quebec, Canada Diego Sebastián Comas, Univ. Nacional de Mar de Plata, Mar de Plata, Argentina Domingo Mery, Pontificia Universidad Católica de Chile, Santiago, Chile Edel Garcia, CENATAV, La Habana, Cuba Eduardo Garea, CENATAV, La Habana, Cuba Eduardo Concepcion, Universidad de Cienfuegos, Cienfuegos, Cuba
Eduardo Morales, INAOE, Puebla, México Enrique Alegre, University of Leon, Leon, Spain Enrique Ferreira, Universidad Católica del Uruguay, Montevideo, Uruguay Fazel Famili, University of Ottawa, Ottawa, Canada Federico Lecumberry, Universidad de la República, Montevideo, Uruguay Filip Malmberg, Uppsala University, Upssala, Sweden Francisco Gomez Fernandez, Universidad de Buenos Aires, Buenos Aires, Argentina Francisco Jose Perales, Universitat de les Illes Balears, Palma, Spain Gabriel Cristobal, Instituto de Optica (CSIC), Madrid, Spain Gabriella Sanniti di Baja, Institute for High Performance Computing and Networking, CNR, Rende, Italy George Azzopardi, University of Malta, Valleta, Malta Germán Capdehourat, Universidad de la República, Montevideo, Uruguay Gernot Fink, TU Dortmund University, Dortmund, Germany Giovanni Maria Farinella, University of Catania, Catania, Italy Gisela Klette, Auckland University of Technology, Auckland, New Zealand Giuseppe Serra, University of Florence, Florence, Italy Glauco Pedrosa, Universidade de Sao Paulo, Sao Paulo, Brazil Gregory Randall, Universidad de la República, Montevideo, Uruguay Guillermo Cámara Chavez, Universidade Federal de Ouro Preto, Ouro Preto, Brazil Guillermo Carbajal, Universidad de la República, Montevideo, Uruguay Gunilla Borgefors, Uppsala University, Uppsala, Sweden Gustavo Meschino, Universidad Nacional de Mar de Plata, Buenos Aires, Argentina Gustavo Vazquez, Universidad Catolica del Uruguay, Montevideo, Uruguay Heinrich Niemann, University of Erlangen-Nuremberg, Bavaria, Germany Helio Lopes, PUC-Rio, Rio de Janeiro, Brasil Hemerson Pistori, Universidade Católica Dom Bosco, Campo Grande, Brazil Henri Bouma, Toegepast Natuurwetenschappelijk Onderzoek, Delft, Netherlands Herwig Unger, FernUniversität in Hagen, Hagen, Germany Hugo Alatrista, Pontificia Universidad Católica del Perú, Lima, Perú Ignacio Ponzoni, Universidad Nacional del Sur, Buenos Aires, Argentina Ignacio Ramirez, Universidad de la Republica, Montevideo, Uruguay Ingela Nyström, Uppsala University, Uppsala, Sweden Isabelle Bloch, ENST - CNRS, Paris, France Isabelle Debled-Rennesson, LORIA, Université de Lorraine, Vandoeuvre-lès-Nancy, France Ivan Sipirán, Pontificia Universidad Católica del Perú, Lima, Perú Jacques Facon, Pontificia Universidade Catolica do Parana, Parana, Brazil Javier A. Jo, Texas A&M University, College Station, USA Javier Preciozzi, Universidad de la República, Montevideo, Uruguay Javier Giacomantone, Universidad Nacional de la Plata, Buenos Aires, Argentina Jean-Francois Bonastre, Université d'Avignon et des Pays de Vaucluse, Avignon, France
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 Jefersson Alex Dos Santos, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil Jesús Mena-Chalco, Federal University of ABC, Sao Paulo, Brazil Jesus Ariel Carrasco-Ochoa, INAOE, Puebla, México Jian Pei, Simon Fraser University, Vancouver, Canada João Manuel R. S. Tavares, INEGI – University of Porto, Porto, Portugal Jose Ruiz-Shulcloper, CENATAV, La Habana, Cuba José E. Medina-Pagola, CENATAV, La Habana, Cuba José Fco. Martínez-Trinidad, INAOE, Puebla, México José Ramón Calvo De Lara, CENATAV, La Habana, Cuba Kalman Palagyi, University of Szeged, Szeged, Hungary Laurent Heutte, Université de Rouen, Rouen, France Lawrence O'Gorman, Alcatel-Lucent Bell Labs, New Jersey, USA Leandro Estrozi, Institute de Biologie Structurale, Grenoble, France Leticia Arco, Asociación Cubana de Reconocimiento de Patrones, Santa Clara, Cuba Lev Goldfarb, University of New Brunswick, Fredericton, Canada Lidia Sánchez González, Universidad de León, Leon, Spain Luis Alexandre, Universidade da Beira Interior, Covilhã, Portugal M Raza Ali, Vision Research Division, InfoTech, Pakistan Manuel Montes-Y-Gómez, INAOE, Puebla, México Manuel Lazo-Cortés, INAOE, Puebla, México Manuel J. Marín-Jiménez, University of Cordoba, Cordoba, Spain Marcelo Fiori, Universidad de la República, Montevideo, Uruguay Marcelo Mendoza, Universidad Técnica Federico Santa María, Valparaiso, Chile Marco Alvarez, Rhode Island University, Kingston, USA Maria Frucci, ICAR-CNR, Naples Branch, Italy Maria Elena Buemi, Universidad de Buenos Aires, Buenos Aires, Argentina Maria Ines Fariello, Facultad de Ingeniería, Montevideo, Uruguay Maria Jose Jimenez, Universidad de Sevilla, Sevilla, Spain Mariano Tepper, Duke University, Durham, USA Mariella Dimiccoli, University of Barcelona, Barcelona, Spain Mario Vento, Università degli Studi di Salerno, Salerno, Italy Mark Nixon, University of Southampton, Southampton, UK Martin Kampel, Vienna University of Technology, Vienna, Austria Mauricio Cerda, Universidad de Chile, Santiago, Chile Mauricio Delbracio, Duke University, Durham, USA Michal Haindl, UTIA, Czech Academy of Sciences, Prague, Czech Republic
Miguel Colom, CMLA ENS, Cachan, France Miguel Carrasco, Universidad Adolfo Ibanez, Santiago, Chile Mykola Sazhok, IRTC, Ukraine Nelson Mascarenhas, Universidade Federal de Sao Carlos, Sao Carlos, Brazil Norberto Goussies, Universidad de Buenos Aires, Buenos Aires, Argentina Odemir M. Bruno, Universidade de Sao Paulo, Sao Carlos, Brazil Olga Bellon, Universidade Federal do Parana, Brazil Omar U. Florez, Intel Labs, Santa Clara, USA Pablo Musé, Universidad de la República, Montevideo, Uruguay Pablo Negri, CONICET, Buenos Aires, Argentina Paola Bermolen, Universidad de la República, Montevideo, Uruguay Paul Rosin, Cardiff University, Cardiff, UK Pedro Real Jurado, Universidad de Sevilla, Sevilla, Spain Petia Radeva, Universitat de Barcelona, Barcelona, Spain Rafael Bello, Universidad Central de Las Villas, Santa Clara, Cuba Rafael Berlanga, Universitat Jaume I, Castellón de la Plana, Spain Rafael Sotelo, Universidad de Montevideo, Montevideo, Uruguay Rama Chellappa, University of Maryland, College Park, USA Rebeca Marfil, University of Malaga, Malaga Spain Reinhard Klette, Auckland University of Technology, Auckland, New Zealand Ricardo Marroquim, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil Ronaldo Fumio Hashimoto, University of Sao Paulo, Sao Paulo, Brazil Rocen Dahyot, Trinity College Dublin, Dublin, Ireland Sergio Velastin, Kingston University, London, UK Silvio Guimaraes, Pontificia Universidade Católica de Minas Gerais, Belo Horizonte, Brazil Steffen Hartel, Universidad de Chile, Santiago, Chile Vadim Mottl, Russian Academy of Sciences, Moscow, Russia Vitaly Kober, CICESE, Baja California, México William Robson Schwartz, Federal University of Minas Gerais, Belo Horizonte, Brazil Xiaohui Liu, Brunel University, London, UK Xiaoyi Jiang, University of Münster, Münster, Germany Yan LeCun, NYU Center for Data Science, New York, USA Yvan Tupac, Universidad Católica San Pablo, Arequipa, Perú
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Keynote Speakers Yann LeCun, Director of AI Research, Facebook. Founding Director of the NYU Center for Data Science http://yann.lecun.com/ Deep Learning and the Future of Artificial Intelligence Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department. His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters
on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition.
B.S. Manjunath, Director, Center for Bio-image Informatics University of California, USA https://vision.ece.ucsb.edu/people/bs-manjunath BisQue: Scalable Scientific Image Informatics with Deep Learning in the Cloud Ph.D. (1991), Signal & Image Processing Institute, EE-Systems, USC. M. E. (1987), Systems Science and Automation, Indian Institute of Science, Bangalore, India. B. E. (1985), Electronics Engineering, Bangalore University, Bangalore, India. Manjunath directs the NSF/ITR funded BioImage Informatics Center and was the Principal Investigator for the NSF/IGERT program on Interactive Digital Multimedia. He has published about 250 articles in various journals and peer reviewed conferences and his publications have been cited extensively. Abstract: Recent advances in imaging sciences enable very large amounts of complex scientific data generation, in some cases exceeding a terabyte of data in one single experiment. Sharing, collaborating and manipulating such complex data is
becoming a critical issue in several disciplines, from life sciences to materials science to remote sensing. In this talk I will describe the BisQue image informatics platform - a collaborative ecosystem that can be easily deployed in a cloud computing environment for large scale, distributed image analytics. BisQue enables large groups of scientists to easily share and work with complex 2D/3D/4D/5D imaging data using only a standard web browser interface. It can manage very large data sets and render the visualization within the browser on the fly. A unique feature of BisQue is the integration of the image analysis modules and machine learning within a database framework and the provenance of the data is maintained- scientists are thus able to create reproducible results. The new version of BisQue will include advanced high dimensional search and indexing, and deep learning tools for object detection and classification. BisQue is distributed as open source (http://bioimage.ucsb.edu) and also as a core service through the CyVerse infrastructure (http://cyverse.org).
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Xiaohui Liu, Design and Physical Sciences Department of Computer Science, Brunel University London. http://www.brunel.ac.uk/people/xiaohui-liu
25 years of data analytics: what has been learnt? Xiaohui Liu is Professor of Computing and Director of the Centre for Intelligent Data Analysis at Brunel University London. He is interested in taking an interdisciplinary approach to meeting the challenges in integrating, analysing and visualising a variety of high-dimensional, fast evolving, and complex data, especially in the modern era of Big Data. Professor Liu is a Chartered Engineer, Chartered Fellow of the British Computer Society, Fellow of the Royal Statistical Society, and Life Member of the Association for the Advancement of Artificial Intelligence. Research area(s): Intelligent data analysis, artificial intelligence, biomedical engineering, computational biology, complex networks, data science, evolutionary optimization, healthcare informatics,
image, text and signal processing, statistical pattern recognition, visual analytics, critical applications of the 21st century e.g. digital economy, education, energy, environment and security. Abstract. We have been witnessing the accumulation of data at an astonishing speed as well as the ever-increasing efforts in making good sense of them. However, the widening gap between data generation and data comprehension, a phenomenon observed two decades ago, is still there and probably getting worse. In this talk, I will take a personal journey to look at some of the work that has been undertaken in my group and elsewhere over the past 25 years, report lessons that have been learnt, and highlight those issues that I believe would need more attention than they currently receive. Examples will be drawn from diverse fields including biology, business, engineering and health.
George Azzopardi, Intelligent Computer Systems, ICT Faculty University of Malta, RUG (The Netherlands) http://www.cs.rug.nl/~george/ COSFIRE: A brain-inspired approach to visual pattern recognition As of March 2015 I am an Academic Resident (Lecturer) at the Intelligent Computer Systems department of the ICT Faculty in the University of Malta. I am involved in lecturing courses about intelligent interfaces, pattern recognition and computer vision. I am also affiliated with the University of Groningen in the Netherlands where I cosupervise PhD and Masters students. Together with my collaborators from the Universities of Groningen and Wageningen (the Netherlands), I am the recipient of a ~EUR500k research grant, which we received from the Breed4Food program of STW in the Netherlands. The project is called SMARTBREED - Smart animal breeding using advanced machine learning. More details can be found in here. I received a PhD cum laude in Computer Science from University of Groningen (Netherlands) in April 2013. During my studies I developed novel trainable pattern recognition algorithms and published my work on high ranking peerreviewed journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and Medical Image Analysis. The thesis can be downloaded from http://www.cs.rug.nl/~george/#Downloads.
Abstract. In the last few years we have been developing a brain-inspired approach that we call COSFIRE (Combination of Shifted Filter Responses). The idea is to configure a pattern-selective filter with the automatic analysis of given prototype/s. For instance, we demonstrate that by using a synthetic edge as a prototype we can configure an edgeselective filter, which uses as input the responses of centeron and center-off Difference-of-Gaussians filters, and that it is highly effective for contour detection. It turns out that the resulting filter is a computational model of a real simple cell. COSFIRE achieves more properties (e.g. push-pull inhibition) that are typical of such cells than the Gabor function model, and it also performs better in a contour detection task (Azzopardi and Petkov, BICY 2012; Azzopardi et al, PLOS ONE 2014). Similarly, by using vessel-like patterns we configure vessel-selective filters and demonstrate their effectiveness in the delineation of vessel trees in retinal fundus images (Azzopardi et al, MEDIA 2015 and Strisciuglio et al, MVAP 2016). In particular, we demonstrate how curvature selective COSFIRE filters respond qualitatively similar to shapeselective neurons in area V4 of the visual cortex of the type studied by Pasupathy (1998). In Azzopardi and Petkov, (PAMI, 2013) we showed how COSFIRE filters are highly effective for object localization and recognition in complex scenes, image classification and how these filters can also be used as shape descriptors. They are tolerant to scale, rotation and reflection transformations
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Session Chairs Bernardete Ribeiro, University of Coimbra, Portugal https://eden.dei.uc.pt/~bribeiro/pagina/ Bernardete Ribeiro is Tenured Associate Professor with Habilitation at the Informatics Engineering Department of the University of Coimbra in Portugal, from where she received Ph.D. in Electrical Engineering, speciality of Informatics. Her research interests are in the areas of Machine Learning, Pattern Recognition and their applications to a broad range of fields. She is Founder and Leader of the Laboratory of Artificial Neural Networks (LARN). She authored or co-authored many publications including books, journals and international conferences. Bernardete Ribeiro served in international and national evaluation panels and as board member, associate editor and reviewer of several journals and conferences. She is coordinator of the BSc in Informatics Engineering and Deputy Head of Portuguese Association of Pattern Recognition. Bernardete Ribeiro is IEEE Senior Member, IEEE SMC Senior member, member of IARP International Association of Pattern Recognition, member of International Neural Network Society (INNS) and member of Association for Computing Machinery (ACM).
Marcelo Mendoza, Universidad Técnica Federico Santa María, Chile https://www.inf.utfsm.cl/~mmendoza/ Marcelo Mendoza is Electronic Engineer and Master in Informatics of the Universidad Técnica Federico Santa Maria, Chile. He received a PhD in Computer Science from the Universidad de Chile. He did a Post Doc in Yahoo Research. Currently he is a faculty professor at the Universidad Técnica Federico Santa María and is President of the Chilean Association of Pattern Recognition. His research interests are text mining, information retrieval and data mining in social networks.
Gabriella Sanniti di Baja, Institute for High Perform. Comp. and Networking, CNR, Rende, Italy http://www.icar.cnr.it/it/node/353 Gabriella Sanniti di Baja received the laurea degree (cum laude) in physics from the "Federico II University" of Naples, Italy, in 1973, and the PhD honoris causa from the Uppsala University, Sweden, in 2002. She has been working from 1973 until 2015 at the Institute of Cybernetics E. Caianiello of the Italian National Research Council (CNR), where she has been director of research, and is currently an Associate Researcher at the Institute for High Performance Computing and Networking, CNR. Her research activity is in the field of image processing, pattern recognition and computer vision. She has published more than 200 papers in international journals and conference proceedings, is the co-editor-in-chief of Pattern Recognition Letters, has been President of the International Association for Pattern Recognition (IAPR) as well as of the Italian Group of Researchers in Pattern Recognition (GIRPR), is IAPR Fellow and Foreign Member of the Royal Society of Sciences at Uppsala, Sweden.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Maria Trujillo Uribe, Universidad del Valle, Colombia http://mmv-lab.univalle.edu.co/www/?p=55 Maria Trujillo received the Doctor of Philosophy degree in Electronic Engineering from the University of London, UK, in 2005 and Master of Science degree in Statistics from the Colegio de Postgraduados, Montecillos Mexico, in 1994. She has been with the Universidad del Valle, Cali Colombia, since 1996. Currently she is an Associate Professor at the School of Systems and Computer Sciences of the Universidad del Valle. Her research includes computer vision, pattern recognition and digital image processing applications on medicine and mining. Dr. Trujillo is the Director of the Multimedia and Computer Vision Group and has published dozens of journal and conference papers. She is a Senior Researcher in the National Ranking of Scientist of Colciencias.
Michal Haindl, Institute of Information Theory and Automation, Czech Republic http://www.utia.cas.cz/people/haindl Graduated from the Czech Technical University (1979), Prague, received Ph.D. in technical cybernetics from the Czechoslovak Academy of Sciences (1983), and the ScD (DrSc) degree from the Czech Technical University (2001). He is a fellow of the IAPR, senior member of the IEEE, and a Professor. He was with the University of Newcastle, Newcastle; Rutherford Appleton Laboratory, Didcot; Centre for Mathematics and Computer Science, Amsterdam and Institute National de Recherche en Informatique et en Automatique, Rocquencourt working on several image analysis and pattern recognition projects. Since 1995 he works in the Institute of Information Theory and Automation where he is head of the Pattern Recognition department. His current research interests are random fields applications in pattern recognition and image processing and automatic acquisition of virtual reality models. He is the author of about 300 research papers published in books, journals and conference proceedings. He is an associate editor for the International Journal of Pattern Recognition and Artificial Intelligence, Kybernetika, and has served on the program committees of numerous conferences.
Oriol Pujol Vila, University of Barcelona, Spain http://www.maia.ub.es/~oriol Oriol Pujol Vila is tenured associate professor from the Computer Sicence and Mathematics department at Universitat de Barcelona (Spain) since 2007, where he teaches Agile Software Development Methodologies, and Machine Learning courses. His research is focused on advancing supervised machine learning techniques in the subfields of online learning and deep learning, specially in topics related to computer vision. He has twenty years of applied experience in these fields involving projects ranging from finance, medical imaging, wearable sensors, among others. He leads the Vision and Computational Intelligence research group at the University of Barcelona.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Francesc J. Ferri, University of Valencia, Spain http://www.uv.es/ferri/ FRANCESC J. FERRI graduated in Physics (1987) and earned PhD in Pattern Recognition (1993) at the Universitat de Valencia where he has been since 1986. He is professor in Computer Science and Artificial Intelligence since 1998. He has produced more than 100 technical papers in conferences and journals in his field. His current research interests include feature selection, nonparametric classification methods, computer vision and image retrieval. He has been involved in a number of scientific and technical projects on Computer Vision and Pattern Recognition including a sabbatical year in 1993 with the Vision, Speech and Signal Processing group in the University of Surrey, UK, and a sabbatical semester in 2005 with the Pattern Recognition and Image Processing Lab in the Michigan State University, USA. His current research interests include Statistical Pattern Recognition Methodology, Nonparametric Classification Methods, Subspace, Manifold and Metric Learning, Neural and Kernel methods and Image Analysis and Recognition. Dr. Ferri is a member of the Spanish Society for Pattern Recognition and Image Analysis (AERFAI), the International Association for Pattern Recognition (IAPR), the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronic Engineers (IEEE).
Jordi Vitrià Marca, University of Barcelona, Spain http://www.ub.edu/cvub/jordivitria/ In 2007, I joined the University of Barcelona (UB) as Full Professor, where I teach an introductory course on Algorithms and advanced courses on Data Mining and Collective Intelligence. From April 2011 to January 2016 I served as Head of the Applied Mathematics and Analysis Department, UB. Now, I am member of the new Mathematics & Computer Science Department at UB. From 1991 to 2006, I taught Computer Vision and Artificial Intelligence in the Computer Science Department at the Universitat Autònoma de Barcelona (UAB). I have also been in charge of doctoral and master studies (until September 2007) at the Computer Science Department, UAB.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Scientific Committee Ingela Nyström, President of the IAPR http://www.cb.uu.se/~ingela/ She received the MSc degree in applied computer science and mathematics, and the PhD degree in computerized image analysis from Uppsala University, Sweden, in 1991, and in 1997, respectively. She is the Head of Division of Visual Information and Interaction (Vi2) at the Dept. of Information Technology, UU, and Director of theCentre for Image Analysis. During 2006-2011, she was the Director of the Uppsala Multidisciplinary Center for Advanced Computational Science (SNIC-UPPMAX) and during 2011-2015 Coordinator of eSSENCE, a strategic effort in eScience. Her research interest is interactive segmentation, visualization, digital geometry, and quantitative shape analysis of volume images with their medical applications. Since 2008, she is member of the Executive Committee (2nd Vice-President 2008-2010, Secretary 2010-2014, President 20142016) of the International Association of Pattern Recognition (IAPR). She is a Vice-Chair of the Council for Research Infrastructure (RFI), Vetenskapsrådet.
Fazel Famili, University of Ottawa https://engineering.uottawa.ca/eecs/people/famili-fazel I am a Data Scientist working as a Data Analytics Consultant in various domains such as Engineering and Life Sciences. My research interests include data mining, pattern recognition, machine learning, bioinformatics, disease modeling based on genomics and proteomics data, and knowledge discovery from on-line or historical data. My research currently focuses on data analytics, automated knowledge discovery, bioinformatics and decision support systems. In 1986 I initiated the data mining research at NRC focusing on engineering applications and successfully deployed a data mining software in Semiconductor manufacturing and transferred this technology to a software company. I also worked extensively in Aerospace domain where I developed the first automated data mining software for which I obtained a US data mining patent.
César Beltrán Castañón, Pontificia Universidad Católica del Perú http://www.pucp.edu.pe/profesor/cesar-beltran-castanon César A. Beltran Castanon is Associate Professor and senior researcher of the Engineering Department, Informatics Engineering Unit, at Pontificia Universidad Católica del Perú (PUCP). He received a B.S. in Information Systems from Santa Maria Catholic University of Arequipa, Peru. He got his MSc. In Computer Science and Ph.D. in Bioinformatics at the University of Sao Paulo, Brazil. He is head of the Pattern Recognition and Artificial Intelligence research group at PUCP. His research interests include machine learning, pattern recognition, analysis of 2D shapes images, feature selection and extraction, content-based image retrieval, bioinformatics and computational biology.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Committees
Steering Committee Marta Mejail Helio Cortes Vieira Lopes Marcelo Mendoza Andrés Gago Alonso Eduardo Bayro-Corrochano Cesar A. Beltrán Castañón Luis Filipi Barbosa de Almeida Alexandre Roberto Paredes Palacios Álvaro Pardo
SARP (Argentine) SIGPR-SBC (Brazil) ACHiRP (Chile) ACRP (Cuba) MACVNR (Mexico) APeRP (Peru) APRP (Portugal) AERFAI (Spain) APRU (Uruguay)
Local Committee
Support Committee
Andrés Melgar Sasieta Hugo Alatrista Salas Ivan Sipirán Mendoza Johan Baldeón Medrano Layla Hirsh Martínez Sofia Khlebnikov Nuñez Rosario Medina Rodriguez Ana Paula Galarreta María Elena Gonzáles Arturo Oncevay Marcos Fernando Alva Manchego Marco Soldevilla Cabezudo Manuel Solórzano C. Kevin Baba Yamakawa Renato Hermoza Aragonés Emilio García Ríos Edmundo Aparicio Christian Pérez Kervy Rivas Erasmo Montoya
Patricia Harman Araccelly Romero Milca Bueno R. Irma Palpan Gloria Vargas Jesared Suarez Iliana Castillo Estrella Cuadrado
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 Overview of the Program Tuesday, 8th November 2016 (Location: Hall of Auditorium of Law, PUCP) 18:30 – 19:30 Reception 19:30 – 20:30 Open-air reception. Registration will be opened
Wednesday, 9th November 2016 (Location: Auditorium of Law, PUCP) 08:00 – 09:00 Registration 09:00 – 09:15 Opening Talk: Ingela Nyström 09:15 – 10:30 Invited Talk: Prof. Dr. Xiaohui Liu 10:30 – 11:00 Tea/Coffee Break 11:00 – 12:40 Oral Session 1 – Learning, Classification, Graphs (5 Talks) 12:40 – 14:10 Lunch Break 14:10 – 15:30 Invited Talk: Prof. Dr. George Azzopardi 15:30 – 16:00 Tea/Coffee Break 16:00 – 17:00 Oral Session 2 – Feature Extraction & Selection (3 Talks) 18:00 – 20:30 Social Event: To confirm Thursday, 10th November 2016 (Location: Auditorium of Law, PUCP) 09:00 – 10:00 Invited Talk: Prof. Dr. B.S. Manjunath 10:00 – 10:40 Paper Highlight Presentations 10:40 – 11:10 Tea/Coffee Break – Poster session 11:10 – 12:30 Oral Session 3 – Medical Image Analysis (4 Talks) 12:30 – 14:00 Lunch Break 14:00 – 15:20 Oral Session 4 – Segmentation & Grouping (4 Talks) 15:20 – 15:50 Tea/Coffee Break – Poster session 15:50 – 16:50 Oral Session 5 – Image Processing (3 Talks) 18:00 – 23:00 Gala Dinner (Location: Meliá Hotel) Friday, 11th November 2016 (Location: Auditorium of Law, PUCP) 09:00 – 10:00 Invited Talk: Prof. Dr. Yann LeCun 10:00 – 10:40 Paper Highlight Presentations 10:40 – 11:10 Tea/Coffee Break – Poster session 11:10 – 12:10 Oral Session 6 – Tracking (3 Talks) 12:10 – 13:40 Lunch Break 13:40 – 15:00 Oral Session 7 – Computer Vision (4 Talks) 15:00 – 15:30 Tea/Coffee Break – Poster sesión 15:30 – 17:10 Oral Session 8 – Object and Pattern Recognition (5 Talks) 16:00 – 17:00 Steering Committee Meeting 17:15 – 18:00 Closing and Reception 18:00 – 20:00 Social Event: To confirm
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Full Program Tuesday, 8th November 2016 Where?: Hall of Auditorium of Law, PUCP 18:30 – 19:30 Reception 19:30 – 20:30 Open-air reception. Registration will be opened
Wednesday, 9th November 2016 Registration 08:00 – 09:00, Auditorium of Law, PUCP Opening & Invited Talks 09:00 - 10:30, Auditorium of Law, PUCP Session Chair: Bernardete Ribeiro 09:00 09:15
Opening Talk Ingela Nyström 25 years of data analytics: what has been learnt? Xiaohui Liu Tea/Coffee Break 10:30 – 11:00, Hall of Auditorium of Law, PUCP Oral Session 01 – Learning, Classification, Graphs 11:00 - 12:40, Auditorium of Law, PUCP Session Chair: Bernardete Ribeiro
11:00-11:20 Partial matching of finger vein patterns based on point sets alignment and directional information Maria Frucci, Daniel Riccio, Gabriella Sanniti di Baja and Luca Serino 11:20-11:40 Star: A Contextual Description of Superpixels for Remote Sensing Image Classification Tiago Moreira Hübner Cançado Santana, Jefersson Alex Dos Santos, Alexei Manso Côrrea Machado and Arnaldo De Albuquerque Araújo 11:40-12:00 A New Parallel Training Algorithm for Optimum-Path Forest-based Learning Aldo Culquicondor, Cesar Castelo-Fernandez and Joao Paulo Papa 12:00-12:20 Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso Marcelo Aliquintuy, Emanuele Frandi, Ricardo Ñanculef and Johan Suykens 12:20-12:40 Improving Nearest Neighbor based Multi-target Prediction through Metric Learning Hector González, Carlos Morell and Francesc J. Ferri
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Lunch Break 12:40 – 14:10, Central restaurant, PUCP Invited Talk 14:10 - 15:30, Auditorium of Law, PUCP Session Chair: Marcelo Mendoza 14:10
COSFIRE: A brain-inspired approach to visual pattern recognition George Azzopardi Tea/Coffee Break 15:30 – 16:00, Hall of Auditorium of Law, PUCP Oral Session 02 – Feature Extraction & Selection 16:00 - 17:00, Auditorium of Law, PUCP Session Chair: Marcelo Mendoza
16:00-16:20 Deep Learning Features for Wireless Capsule Endoscopy Analysis Santi Segui, Michal Drozdzal, Guillem Pascual, Carolina Malagelada, Fernando Azpiroz, Petia Radeva and Jordi Vitrià 16:20-16:40 A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection Yenisel Plasencia, Yan Li, Robert P. W. Duin, Mauricio Orozco-Alzate, Marco Loog and Edel Garcia 16:40-17:00 Multi-Biometric Template Protection on Smartphones: An Approach based on Binarized Statistical Features and Bloom Filters Martin Stokkenes, Raghavendra Ramachandra, Kiran B. Raja, Marta Gomez-Barrero, Morten Sigaard and Christoph Busch Social Event 18:00 – 20:30, To confirm
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Thursday, 10th November 2016 Invited Talk & Paper Highlights 09:00 - 10:30, Auditorium of Law, PUCP Session Chair: Fazel Famili
09:00
BisQue: Scalable Scientific Image Informatics with Deep Learning in the Cloud B.S. Manjunath
10:00
Paper highlight presentations with code P* (20 presentations of 2 min. each)
P-004 Direction-based segmentation of retinal blood vessels Maria Frucci, Daniel Riccio, Luca Serino and Gabriella Sanniti di Baja. P-008 Identifying Aedes aegypti mosquitoes by sensors and one-class classifiers Vinícius Souza. P-011 Highly Transparent and Secure Scheme for Concealing Text within Audio Diego Renza, Camilo Lemus and Dora M. Ballesteros L.. P-021 An Automatic Tortoise Specimen Recognition Matej Sedlacek, Michal Haindl and Dominika Formanova. P-025 New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study Jose Santamaria. P-027 Novel Method for Early Dementia Detection based on Cepstral Analysis of Speech Signal Osmany Cruz, Carlos A Ferrer, Luis A Hernandez, Anja Lowit and Eduardo Gonzalez-Moreira. P-030 Sport Video Genre Classification in Mixed Video Quality Dataset Guilherme Magalhaes, Ing Ren Tsang and George D. C. Cavalcanti. P-031 V1-Like feature and sparse principal component analysis for face verification Mario Junior, Ing Ren Tsang and George D. C. Cavalcanti. P-032 Automatic Fruit and Vegetable Recognition based on CENTRIST and Color Representation Jadisha Cornejo and Helio Pedrini.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 P-035 Scale Sensitivity of Textural Features Michal Haindl and Pavel Vacha. P-036 Noise-Added Texture Analysis Tuan Pham. P-041 Breast Density Classification with Convolutional Neural Networks Pablo Fonseca, Benjamin Castaneda, Ricardo Valenzuela and Jacques Wainer P-042 Community Feature Selection for Anomaly Detection in Attributed Graphs Mario Alfonso Prado-Romero and Andrés Gago-Alonso. P-043 Lung Nodule Classification Based on Deep Convolutional Neural Networks Julio Bobadilla and Helio Pedrini. P-048 A kernel-based approach for deep brain stimulation parameter estimation Viviana Gómez Orozco, Mauricio Alvarez, Oscar Alberto Henao Gallo, Andrés Marino Álvarez Meza, Álvaro Ángel Orozco Gutiérrez, Jhon Fredy Cuellar Fierro and Hernán Felipe García Arias. P-055 Distributed and parallel algorithm for computing betweenness centrality Mirlayne Campuzano and Adrian Fonseca. P-060 Algorithm for Computing Goldman Fuzzy Reducts Jesus Ariel Carrasco-Ochoa, Manuel Lazo-Cortés and José Fco. Martínez-Trinidad. An P-061 Metric learning in the dissimilarity space to improve low-resolution face recognition Mairelys Hernández-Durán, Yenisel Plasencia and Heydi Mendez-Vazquez. P-062 Video Temporal Segmentation based on Color Histograms and Cross-Correlation Anderson Santos and Helio Pedrini. P-066 Extended LBP Operator to Characterize Event-Address Representation Connectivity Pablo Negri.
Tea/Coffee Break – Poster session 10:40 – 11:10, Hall of Auditorium of Law, PUCP
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 Oral Session 03 – Medical Image Analysis 11:10 - 12:30, Auditorium of Law, PUCP Session Chair: Gabriela Saniti 11:10-11:30 A hierarchical K-nearest neighbor approach for volume of tissue activated estimation Iván De La Pava Panche, Juan Camilo Mejía Hernandez, Andrés Marino Alvarez-Meza, Mauricio Alexander Álvarez López, Álvaro Ángel Orozco Gutierrez and Oscar Alberto Henao Gallo 11:30-11:50 Automatic classification of herbal substances enhanced with an entropy criterion Victor Mendiola-Lau, Francisco J. Silva Mata, Isneri Talavera Bustamante, Yoanna Martínez-Díaz and Maria De Marsico 11:50-12:10 Spatial resolution enhancement in ultrasound images from multiple annotators knowledge Julian Gil Gonzalez, Mauricio Alvarez and Alvaro-Angel Orozco-Gutierrez 12:10-12:30 Non-parametric source reconstruction via kernel temporal enhancement for EEG data Cristian A Torres-Valencia, Andres M Alvarez-Meza, Alvaro Orozco-Guitiérrez, Mauricio Alvarez, Jose Hernandez-Muriel and Wilson Gonzalez-Vanegas
Lunch Break 12:30 – 14:00, Central restaurant, PUCP
Oral Session 04 – Segmentation & Grouping 14:00 - 15:20, Auditorium of Law, PUCP Session Chair: Maria Trujillo Uribe 14:00-14:20 Discriminative Capacity and Phonetic Information of Bottleneck Features in Speech Ana Montalvo and José Ramón Calvo 14:20-14:40 Two Compound Random Field Texture Models Michal Haindl and Vojtech Havlicek 14:40-15:00 Consensual Iris Segmentation Fusion Daile Osorio Roig and Eduardo Garea Llano 15:00-15:20 Boosting spLSA for Text Classification Julio Hurtado, Marcelo Mendoza and Ricardo Ñanculef
Tea/Coffee Break – Poster session 15:20 – 15:50, Hall of Auditorium of Law, PUCP
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Oral Session 05 – Image Processing 15:50 - 16:50, Auditorium of Law, PUCP Session Chair: Michal Haindl 15:50-16:10 Spatio-colour Asplünd’s metric and Logarithmic Image Processing for Colour Images (LIPC) Guillaume Noyel and Michel Jourlin 16:10-16:30 Non-local Exposure Fusion Cristian Ocampo-Blandon and Yann Gousseau 16:30-16:50 Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location Miguel Alberto Becerra Botero, Marcela Bedoya Sánchez, Jacobo García Carvajal, Jaime A. Guzmán Luna, Diego Hernán Peluffo-Ordoñez and Catalina Tobon
Gala Dinner 18:00 – 23:00, Meliá Hotel
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Friday, 11th November 2016 Invited Talk & Paper Highlights 09:00 - 10:30, Auditorium of Law, PUCP Session Chair: Ingela Nyström
09:00
Deep Learning and the Future of AI Yann LeCun
10:00
Paper highlight presentations with code P* (20 presentations of 2 min. each)
P-068 Similarity measure for cell membrane fusion proteins identification Daniela Megrian, Pablo Aguilar and Federico Lecumberry. P-070 Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms Noel Lopes and Bernardete Ribeiro. P-073 Identifying Colombian Bird Species from Audio Recordings Jorge E. Camargo, Juan C. Caicedo and Angie K. Reyes. P-075 Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures Hernán Felipe Garcia Arias, Mauricio Alexander Álvarez López and Álvaro Ángel Orozco Gutiérrez. P-079 Subsampling The Concurrent Adaboost Algorithm: An Efficient Approach For Large Datasets Héctor Allende-Cid, Diego Acuña and Hector Allende. P-082 Interactive data visualization using dimensionality reduction and similarity-based representations Paul David Rosero-Motalvo, Paul Diaz-Zuñiga, Diego Fernando Peña-Unigarro, José Alejandro Salazar-Castro, Juan Carlos Alvarado-Pérez, Andrés Javier Anaya-Isaza, Roberto Therón and Diego Hernán Peluffo-Ordoñez. P-083 Multi-labeler classification using kernel representations and mixture of classifiers David Esteban Imbajoa-Ruiz, Ivan Gustin, Mauricio Bola˜nos-Ledezma, Andrés Arciniegas-Mejía, Fredy Guasmayan, María J. Bravo - Montenegro, Andrés Eduardo Castro Ospina and Diego Hernán Peluffo-Ordoñez. P-084 Detection of follicles in ultrasound videos of bovine ovaries Alvaro Gómez, Guillermo Carbajal, Magdalena Fuentes and Carolina Viñoles. P-085 Decision Level Fusion for Audio-Visual Speech Recognition in Noisy conditions Gonzalo Sad, Lucas Daniel Terissi and Juan Carlos Gomez.
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
P-089 An Approximate Support Vector Machines Solver With Budget Contro Carles R. Riera Molina and Oriol Pujol. P-095 Clustering algorithms application in gene expression data from patients with Osteogenesis Imperfecta: A comparison between Affinity Propagation, Self-organizing Maps and K-means Diogo Pereira Silva De Novais, Paulo Eduardo Ambrósio and Carla Martins Kaneto. P-096 Automatic Classification of Non-Informative Frames in Colonoscopy Videos using Texture Analysis Ballesteros Cristian, Maria Trujillo, Claudia Mazo and Deisy Chaves. P-098 Efficient Training over Long Short-Term Memory Networks for Wind Speed Forecasting Erick López, Carlos Valle, Héctor Allende and Esteban Gil. P-099 Classifying Estimated Stereo Correspondences based on Delaunay Triangulation Cristina Bustos, Elizabeth Vargas and Maria Trujillo. P-101 Multivariate functional network connectivity for disorders of consciousness Jorge Rudas, Darwin Martínez, Athena Demertzi, Carol Di Perri, Lizette Heine, Luaba Tshibanda, Andrea Soddu, Steven Laureys and Francisco Gomez. P-111 Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study Fábio Augusto Menocci Cappabianco, Lucas Santana Lellis, Paulo Andre Vechiatto de Miranda, Jaime Shinsuke Ide and Lilianne Mujica-Parodi. Edge
P-116 Selection of representative subset as a pattern of full object set Javier Tejada, Mikhail Alexandrov, Gabriella Skitalinskaya and Dmitry Stefanovskiy. P-121 Analysis of the geometry and electric properties of brain tissue in simulation models for deep brain stimulation Hernan Vargas, Alvaro Orozco and Mauricio Alvarez. P-124 Sparse Linear Models applied to Power Quality Disturbance Classification. Andrés Felipe López Lopera, Mauricio Alexánder Álvarez López and Álvaro Á. Orozco.
Tea/Coffee Break – Poster session 10:40 – 11:10, Hall of Auditorium of Law, PUCP
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016 Oral Session 06 – Tracking 11:10 - 12:10, Auditorium of Law, PUCP Session Chair: Oriol Pujol Vila 11:10-11:30 Parallel Integer Motion Estimation for High Efficiency Video Coding (HEVC) Using OpenCL Augusto Gomez, Jhon Perea and María Trujillo 11:30-11:50 Abnormal Behavior Detection in Crowded Scenes Based on Optical Flow Connected Components. Oscar Rojas and Clesio Tozzi
11:50-12:10 GMM Background Modeling using Divergence-based Weight Updating Juan Diego Pulgarin-Giraldo, Andres Marino Alvarez-Meza, Hernán David Insuasti-Ceballos, Thierry Bouwmans and German Castellanos-Dominguez
Lunch Break 12:10 – 13:40, Central restaurant, PUCP
Oral Session 07 – Computer Vision 13:40 - 15:00, Auditorium of Law, PUCP Session Chair: Francesc J. Ferri 13:40-14:00 Tsallis Entropy Extraction for Mammographic Region Classification Rafaela Alcântara, Perfilino Ferreira Junior and Aline Ramos 14:00-14:20 Autonomous Scanning of Structural Elements in Buildings Blanca Quintana, Samuel A. Prieto, Antonio Adán and Andrés S. Vázquez 14:20-14:40 Depth estimation with light field and photometric stereo data using energy minimization Doris Antensteiner, Svorad Štolc and Reinhold Huber-Mörk 14:40-15:00 Definition and Composition of Motor Primitives using LFMs and HMMs Diego Agudelo España, Mauricio Alvarez and Álvaro Orozco
Tea/Coffee Break – Poster session 15:00 – 15:30, Hall of Auditorium of Law, PUCP
8-11 November, 2016. Pontificia Universidad Católica del Perú
XXI Iberoamerican Congress on Pattern Recognition - CIARP 2016
Oral Session 08 – Object and Pattern Recognition 15:30 - 17:10, Auditorium of Law, PUCP Session Chair: Jordi Vitria 15:30-15:50 A Similarity Indicator for differentiating Kinematic Performance between Qualified Tennis Players Juan Diego Pulgarin-Giraldo, Andres Marino Alvarez-Meza, Luis Gerardo Melo-Betancourt, Santiago Ramos-Bermudez and German Castellanos-Dominguez 15:50-16:10 Face Composite Sketch Recognition By BoVW-Based Discriminative Representations Yenisel Plasencia, Heydi Mendez-Vazquez and Rainer Larin-Fonseca 16:10-16:30 Computing Arithmetic Operations on Sequences of Handwritten Digits Andrés Pérez, Angélica Quevedo and Juan C. Caicedo 16:30-16:50 Fine-tuning based deep convolutional networks for lepidopterous genus recognition Juan Carvajal, Dennis Romero and Angel Sappa 16:50-17:10 How Deep can we Rely on Emotion Recognition Ana Laranjeira, Bernardete Ribeiro, Xavier Frazão and André Pimentel
Steering Committee Meeting 16:00 - 17:00, Room next to Auditorium of Law, PUCP Session Chair: César Beltrán C.
Closing 17:15 – 18:00
Social event 18:00 – 23:00, To confirm
8-11 November, 2016. Pontificia Universidad Católica del Perú
