[RsR] Call for Papers ICPRAM 2012

[Pedro Latorre Carmona]

Dear all,

My name is Pedro Latorre Carmona, program co-chair of the "2012  
International Conference on Pattern Recognition Applications and  
Methods (ICPRAM2012)". I send you the Call for Papers for this  
conference and would like to draw your attention in particular to the  
six special sessions that are also organised. I hope you will find it  
interesting and may contribute to ICPRAM 2012.


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        2012 International Conference on Pattern Recognition
                  Applications and Methods (ICPRAM2012)

                            February 6-8, 2012
                      Vilamoura, Algarve, Portugal
                         http://www.icpram.org
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ICPRAM (1st International Conference on Pattern Recognition Applications and
Methods - http://www.icpram.org/) has an open call for papers, whose
deadline is set for July 26, 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
- Applications

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).

IMPORTANT DATES:
Regular Paper Submission: September 8, 2011 (extended)
Authors Notification (regular papers): October 17, 2011
Final Regular Paper Submission and Registration: October 31, 2011


CONFERENCE CHAIR:
Ana Fred, Technical University of Lisbon / IT, Portugal


PROGRAM CO-CHAIRS:
J. Salvador Sanchez, Jaume I University, Spain Pedro Latorre Carmona, Jaume
I University, Spain

KEYNOTES SPEAKERS:
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


PROGRAM COMMITTEE:
Please check the program committee members at
http://www.icpram.org/program_committee.asp



CONFERENCE TRACKS:
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
- 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 Learning Algorithms
- Planning and Learning
- Convex Optimization
- Stochastic Methods
- Combinatorial Optimization


TRACK 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