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</o:shapelayout></xml><![endif]--></head><body lang=PT link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span lang=EN-US> CALL FOR POSITION PAPERS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> 1st International Conference on Pattern Recognition Applications and Methods - ICPRAM 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> Website: http://www.icpram.org<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> February 6 - 8, 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> </span>Vilamoura, Algarve, Portugal<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Important Deadlines: <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US>Position Paper Submission: October 14, 2011<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Authors Notification (position papers): November 14, 2011<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Final Position Paper Submission and Registration: November 28, 2011<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Technically Co-sponsored by:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>AERFAI (Asociación Española de Reconocimiento de Formas y Análisis de Imágenes)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>APRP (Portuguese Association of Pattern Recognition)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>IEEE SPS (IEEE Signal Processing Society)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>In Cooperation with:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>AAAI (Association for the Advancement of Artificial Intelligence)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>PASCAL2 (Pattern Analysis, Statistical Modelling and Computational Learning)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>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.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>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. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal>KEYNOTE SPEAKERS<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Tiberio Caetano, NICTA, Australia<o:p></o:p></p><p class=MsoNormal><span lang=EN-US>Francis Bach, INRIA, France<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>José C. Príncipe, University of Florida, U.S.A.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Joachim M. Buhmann, ETH Zurich, Switzerland<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Kostas Triantafyllopoulos, University of Sheffield, U.K. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>PUBLICATIONS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>All accepted papers (full, short and posters) will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/).<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>SciTePress is member of CrossRef (http://www.crossref.org/).<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, INSPEC, DBLP and EI.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer-Verlag in a AISC Series book.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Top selected papers in specific areas of interest will be published as a special issue in the Neurocomputing Journal.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>AWARDS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Best paper awards will be distributed during the conference closing session. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Please check the website for further information (http://icpram.org/best_paper_awards.asp).<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>CONFERENCE CHAIR<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Ana Fred, Technical University of Lisbon / IT, Portugal<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>PROGRAM CO-CHAIRS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>J. Salvador Sánchez, Jaume I University, Spain<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Pedro Latorre Carmona, Jaume I University, Spain <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>CONFERENCE TRACKS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> TRACK 1: THEORY AND METHODS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> * Exact and Approximate Inference<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Density Estimation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Bayesian Models<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Gaussian Processes<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Model Selection<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Graphical and Graph-based Models<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Missing Data<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Ensemble Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Neural Networks<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Kernel Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Large Margin Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Classification<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Regression<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Sparsity<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Feature Selection and Extraction<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Spectral Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Embedding and Manifold Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Similarity and Distance Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Matrix Factorization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Clustering<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * ICA, PCA, CCA and other Linear Models<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Fuzzy Logic<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Active Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Cost-sensitive Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Incremental Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * On-line Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Structured Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Multi-agent Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Multi-instance Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Reinforcement Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Instance-based Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Knowledge Acquisition and Representation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Meta Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Multi-strategy Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Case-based Reasoning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Inductive Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Computational Learning Theory<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Cooperative Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Evolutionary Computation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Information Retrieval and Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Hybrid Learning Algorithms<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Planning and Learning<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Convex Optimization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Stochastic Methods<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Combinatorial Optimization<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>TRACK 2: APPLICATIONS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> * Natural Language Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Information Retrieval<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Ranking<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Web Applications<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Economics, Business and Forecasting Applications<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Bioinformatics and Systems Biology<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Audio and Speech Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Signal Processing<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Image Understanding<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Sensors and Early Vision<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Motion and Tracking<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Image-based Modelling<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Shape Representation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Object Recognition<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Video Analysis<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Medical Imaging<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Learning and Adaptive Control<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Perception<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Learning in Process Automation<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Learning of Action Patterns<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Virtual Environments<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> * Robotics<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>PROGRAM COMMITTEE<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>http://www.icpram.org/program_committee.asp<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>SPECIAL SESSIONS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Algebraic Geometry in Machine Learning 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> >http://www.icpram.org/special_sessions.asp#AGML<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Chair:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Jason Morton<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Pennsylvania State University<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>U.S.A.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Shape Analysis and Deformable Modeling 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> >http://www.icpram.org/special_sessions.asp#SADM<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Chair:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Xianghua Xie<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Swansea University<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>U.K.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Machine Learning for Sequences 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> >http://www.icpram.org/special_sessions.asp#MLS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Chair:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Thierry Artières<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Université Pierre et Marie Curie (UPMC)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>France<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Pattern Recognition Applications in Remotely Sensed Hyperspectral Image Analysis 2012 <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> >http://www.icpram.org/special_sessions.asp#PRARSHIA<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Chair:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Antonio Plaza<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>University of Extremadura<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Spain<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>High-Dimensional Inference from Limited Data: Sparsity, Parsimony and Adaptivity 2012 <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>>http://www.icpram.org/special_sessions.asp#HDILD<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Co-Chairs:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Jarvis Haupt<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>University of Minnesota<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>U.S.A.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Rui M. Castro<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Eindhoven University of Technology<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The Netherlands<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Interactive and Adaptive Techniques for Machine Learning, Recognition and Perception 2012<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>>http://www.icpram.org/special_sessions.asp#IATMLRP<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Session Co-Chairs<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Luisa Mico<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>University of Alicante<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Spain<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Francesc J. Ferri<o:p></o:p></span></p><p class=MsoNormal>University of Valencia<o:p></o:p></p><p class=MsoNormal>Spain<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US>Please check further details at the conference website (http://www.icpram.org).<o:p></o:p></span></p></div></body></html>