Let me kindly inform you that the International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015 - http://www.icpram.org/), to be held in Lisbon, Portugal (January 10 - 12, 2015) is now welcoming the submission of position papers whose deadline is scheduled for next September 30. A position paper presents an arguable opinion about an issue. The goal of a position paper is to convince the audience that your opinion is valid and worth listening to, without the need to present completed research work and/or validated results. It is, nevertheless, important to support your argument with evidence to ensure the validity of your claims. A position paper may be a short report and discussion of ideas, facts, situations, methods, procedures or results of scientific research (bibliographic, experimental, theoretical, or other) focused on one of the conference topics. Please check further details about position papers submission at the conference website (http://www.icpram.org/GuidelinesTemplates.aspx). The conference will be sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI), European Association for Signal Processing (EURASIP), Asia Pacific Neural Network Assembly (APNNA) and International Neural Network Society (INNS). INSTICC is Member of the Workflow Management Coalition (WfMC). The Logistics Partner is the Science and Technology Events (SCITEVENTS). ICPRAM is interested in promoting high quality research as it can be confirmed by last year acceptance rates, where from 173 submissions, 14% were presented as full papers. Submitted papers will be subject to a double-blind review process. All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. 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 LNCS Series book. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). SCITEPRESS is a member of CrossRef (http://www.crossref.org/). Workshops, Special sessions, Tutorials as well as Demonstrations dedicated to other technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat. Workshop chairs and Special Session chairs will benefit from logistics support and other types of support, including secretariat and financial support, to facilitate the development of a valid idea. The conference program features a number of Keynote Lectures to be delivered by distinguished world-class researchers, including those listed below. Please check further details at the ICPRAM conference website (http://www.icpram.org/). Should you have any question please don't hesitate contacting me. ICPRAM 2015 will be held in conjunction with ICORES 2015 (http://www.icores.org) and ICAART 2015 (http://www.icaart.org) in Lisbon, Portugal. Registration to ICPRAM will enable free attendance to any sessions of ICORES or ICAART conferences as a non-speaker. Kind regards, Helder Coelhas ICPRAM Secretariat (On Behalf of Vera Coelho) Av. D. Manuel I, 27A 2.Esq. 2910-595 Setubal, Portugal Tel.: +351 265 100 033 Fax: +44 203 014 8813 Email: icpram.secretariat@insticc.org - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CALL FOR PAPERS International Conference on Pattern Recognition Applications and Methods ICPRAM website: http://www.icpram.org/ January 10 - 12, 2015 Lisbon, Portugal In Cooperation with: AAAI, EURASIP, APNNA and INNS Sponsored by: INSTICC INSTICC is Member of: WfMC Logistics Partner: SCITEVENTS IMPORTANT DATES: Position Paper Submission: September 30, 2014 Authors Notification (position papers): November 6, 2014 Final Position Paper Submission and Registration: November 17, 2014 CONFERENCE CHAIR: Ana Fred, Instituto de Telecomunicacoes / IST, Portugal PROGRAM CO-CHAIRS: Maria De Marsico, Sapienza Universita di Roma, Italy Mario Figueiredo, Technical University of Lisbon - IST, Portugal PROGRAM COMMITTEE: Please check the program committee members at http://www.icpram.org/ProgramCommittee.aspx KEYNOTE SPEAKERS: Hanan Samet, University of Maryland, United States Nello Cristianini, University of Bristol, United Kingdom Marcello Pelillo, University of Venice, Italy Luis Alexandre, University of Beira Interior, Portugal CONFERENCE AREAS: Area 1: Theory and Methods - Exact and Approximate Inference - Density Estimation - Bayesian Models - Gaussian Processes - Model Selection - Graphical and Graph-based Models - Missing Data - Ensemble Methods - Neural Networks - Kernel Methods - Large Margin Methods - Classification - Regression - Sparsity - Feature Selection and Extraction - Spectral Methods - Embedding and Manifold Learning - Similarity and Distance Learning - Matrix Factorization - Clustering - ICA, PCA, CCA and other Linear Models - Fuzzy Logic - Active Learning - Cost-sensitive Learning - Incremental Learning - On-line Learning - Structured Learning - Multi-agent Learning - Multi-instance Learning - Reinforcement Learning - Instance-based Learning - Knowledge Acquisition and Representation - Meta Learning - Multi-strategy Learning - Case-Based Reasoning - Inductive Learning - Computational Learning Theory - Cooperative Learning - Evolutionary Computation - Information Retrieval and Learning - Hybrid Le Area 2: Applications - Natural Language Processing - Information retrieval - Ranking - Web Applications - Economics, Business and Forecasting Applications - Bioinformatics and Systems Biology - Audio and Speech Processing - Signal Processing - Image Understanding - Sensors and Early Vision - Motion and Tracking - Image-based Modelling - Shape Representation - Object Recognition - Video Analysis - Medical Imaging - Learning and Adaptive Control - Perception - Learning in Process Automation - Learning of Action Patterns - Virtual Environments - Robotics - Biometrics