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ICPRAM 2015 : 4th International Conference on Pattern Recognition Applications and Methods

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Conference Series : International Conference on Pattern Recognition Applications and Methods
 
Link: http://www.icpram.org
 
When Jan 10, 2015 - Jan 12, 2015
Where Lisbon
Submission Deadline Jul 29, 2014
 

Call For Papers

Conference name:
4th International Conference on Pattern Recognition Applications and Methods– ICPRAM 2015

Venue:
Lisbon, Portugal

Event date:
10 - 12 january, 2015

Regular Papers
Regular Paper Submission: July 29, 2014
Regular Paper Authors Notification: November 3, 2014
Regular Paper Camera Ready and Registration: November 17, 2014

Scope:
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.

Conference Areas:
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. THEORY AND METHODS
2. APPLICATIONS

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

KEYNOTE SPEAKERS
ICPRAM 2015 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

ICPRAM CONFERENCE CHAIR
Ana Fred, Instituto de Telecomunicações / IST, Portugal


PROGRAM CO-CHAIRS
Maria De Marsico, Sapienza Università di Roma, Italy
Mário Figueiredo, Technical University of Lisbon - IST, Portugal

PROGRAM COMMITTEE
http://www.icpram.org/ProgramCommittee.aspx

ICPRAM Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel.: +351 265 100 033
Fax: +44 203 014 8813
e-mail: icpram.secretariat@insticc.org
Web: http://www.icpram.org

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ISPA 2018   The 16th IEEE International Symposium on Parallel and Distributed Processing with Applications
RAPRAI 2018   Special Issue on “Recent Advances in Pattern Recognition and Artificial Intelligence” in Neural Computing and Applications
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DEDA SI 2018   Data-Enabled Discovery and Applications: Special Issue on Data Science and Interdisciplinary Research