2012 International Conference on Pattern Recognition
Applications and Methods (ICPRAM2012)
February 6-8, 2012
Vilamoura, Algarve, Portugal
ICPRAM (1st International Conference on Pattern Recognition Applications and Methods – http://www.icpram.org/) has an open call for papers, whose deadline is extended to 8 September 2011. We hope you can participate in this conference by submitting a paper reflecting your current research in any of the following tracks:
– Theory and Methods
ICPRAM 2012 will be held in Vilamoura, Algarve, Portugal next year, on February 6-8, 2012.
The conference will be sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2), and technically co-sponsored by IEEE Signal Processing Society, Machine Learning for Signal Processing
(MLSP) Technical Committee of IEEE, AERFAI (Asociación Espanola de Reconocimiento de Formas y Analisis de Imagenes) and APRP (Associacao Portuguesa de Reconhecimento de Padroes). INSTICC is member of the Workflow Management Coalition (WfMC).
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.
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.
The conference program features a number of Keynote Lectures to be delivered by distinguished world-class researchers, including those listed below.
The proceedings of ICPRAM will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and Elsevier Index (EI).
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.
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.
Top selected papers in specific areas of interest will be published as a special issue in the Neurocomputing Journal.
Best paper awards will be distributed during the conference closing session. Please check the website for further information (http://www.icpram.org/best_paper_awards.asp).
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/).
SciTePress is member of CrossRef (http://www.crossref.org/).
We also would like to highlight the possibility to submit to the following Special Sessions:
– Algebraic Geometry in Machine Learning
– Shape Analysis and Deformable Modeling
– Machine Learning for Sequences
– Pattern Recognition Applications in Remotely Sensed Hyperspectral Image Analysis
– High-Dimensional Inference from Limited Data: Sparsity, Parsimony and Adaptivity
– Interactive and Adaptive Techniques for Machine Learning, Recognition and Perception
Workshops and further special sessions are also invited, with the condition that the topics do not overlap with the existing ones. If you wish to propose a workshop or a special session, for example based on the results of a specific research project, please contact the 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.
ICPRAM 2012 will be held in conjunction with ICAART 2012
(http://www.icaart.org/home.asp) and ICORES (http://www.icores.org) in Vilamoura, Algarve, Portugal next year, on February 6-8, 2012.
Registration to ICPRAM will enable free access to the ICAART and ICORES conferences (as a non-speaker).
Regular Paper Submission: September 8, 2011 (extended)
Authors Notification (regular papers): October 17, 2011
Final Regular Paper Submission and Registration: October 31, 2011
Ana Fred, Technical University of Lisbon / IT, Portugal
J. Salvador Sanchez, Jaume I University, Spain Pedro Latorre Carmona, Jaume I University, Spain
Ludmila Kuncheva, Bangor University, U.K.
Tiberio Caetano, NICTA, Australia
Francis Bach, INRIA, France
Jose C. Principe, University of Florida, U.S.A.
Joachim M. Buhmann, ETH Zurich, Switzerland
Please check the program committee members at http://www.icpram.org/program_committee.asp
TRACK 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
– Feature Selection and Extraction
– Spectral Methods
– Embedding and Manifold Learning
– Similarity and Distance Learning
– Matrix Factorization
– 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 Learning Algorithms
– Planning and Learning
– Convex Optimization
– Stochastic Methods
– Combinatorial Optimization
TRACK 2: APPLICATIONS
– Natural Language Processing
– Information Retrieval
– 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
– Learning in Process Automation
– Learning of Action Patterns
– Virtual Environments