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ICPRAM 2017 : 6th International Conference on Pattern Recognition Applications and Methods


When Feb 24, 2017 - Feb 26, 2017
Where Porto, Portugal
Submission Deadline Oct 20, 2016
Notification Due Nov 28, 2016
Final Version Due Dec 13, 2016
Categories    artificial intelligence   machine learning   pattern recognition   knowledge discovery

Call For Papers

6th International Conference on Pattern Recognition Applications and Methods ICPRAM


February 24 - 26, 2017 Porto, Portugal

In Cooperation with: AIXIA, INNS, APRP and AAAI
Endorsed by: IAPR
Sponsored by: INSTICC
INSTICC is Member of: WfMC
Logistics Partner: SCITEVENTS

Regular Papers
Paper Submission: October 26, 2016 (extended)
Authors Notification: November 28, 2016
Camera Ready and Registration: December 13, 2016

Position Papers
Paper Submission: November 16, 2016
Authors Notification: December 20, 2016
Camera Ready and Registration: January 5, 2017

Workshop Proposal: November 7, 2016

Doctoral Consortium
Paper Submission: December 26, 2016
Authors Notification: January 6, 2017
Camera Ready and Registration: January 16, 2017

Tutorials, Demos and Panels Proposals: December 29, 2016

Open Communications
Paper Submission: December 26, 2016
Authors Notification: January 6, 2017
Camera Ready and Registration: January 16, 2017

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.
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.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

Conference Topics:
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 Learning Algorithms
- Planning and Learning
- Convex Optimization
- Stochastic Methods
- Combinatorial Optimization
- Multiclassifier Fusion

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

Isabel Trancoso, L2f INESC-ID/IST, Portugal
Vittorio Murino, Istituto Italiano di Tecnologia, Italy

Ana Fred, Instituto de Telecomunicações / IST, Portugal

Maria De Marsico, Sapienza Università di Roma, Italy
Gabriella Sanniti di Baja, ICAR-CNR, Italy


ICPRAM Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
Tel: +351 265 520 185
Fax: +351 265 520 186

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