[PlanetKR] Last Call for Papers ICPRAM 2012

Pedro Latorre Carmona latorre at lsi.uji.es
Wed Aug 31 21:43:14 EST 2011

Dear "PlanetKR" members,

My name is Pedro Latorre Carmona, program co-chair of the 2012  
"International Conference on Pattern Recognition Applications and  
Methods" (ICPRAM 2012) http://www.icpram.org

I would like to take this opportunity to let you know that the  
"regular papers" submission deadline for this conference has been  
extended to September 8, 2011.

Please find below the text-only version of the Last Call for Papers.  
Please, also send it to any of your PhD students or any colleague that  
may be interested in the conference.


Pedro Latorre Carmona.

       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 set for September 8, 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.

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.

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.

Regular Paper Submission: September 8, 2011
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

- 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

- 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.

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