Difference between revisions of "ICPRAM 2012"

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|Acronym=ICPRAM 2012
 
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|End date=2012/02/08
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|Type =Conference
 
|Type =Conference
 
|Country=PT
 
|Country=PT
 
|State=PT/08
 
|State=PT/08
 
|City =PT/08/Vilamoura
 
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|Year =2012
 
|Homepage=www.icpram.org
 
|Homepage=www.icpram.org
|Start date=2012/02/06
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|Title=1st International Conference on Pattern Recognition Applications and Methods}}
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|Title=1st International Conference on Pattern Recognition Applications and Methods
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Conference Name: 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM)
 
Conference Name: 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM)
  

Latest revision as of 03:28, 6 December 2021


Event Rating

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List of all ratings can be found at ICPRAM 2012/rating

ICPRAM 2012
1st International Conference on Pattern Recognition Applications and Methods
Dates 2012-02-06 (iCal) - 2012-02-08
Homepage: www.icpram.org
Location
Location: PT/08/Vilamoura, PT/08, PT
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Important dates
Papers: 2011/07/26
Submissions: 2011/07/26
Notification: 2011/10/06
Camera ready due: 2011/10/26
Table of Contents

Conference Name: 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM)

Venue: Vilamoura, Algarve, Portugal


Event Date: 6-8 February, 2012

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.


1. THEORY AND METHODS

2. APPLICATIONS


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

Important Dates

Conference date: 6-8 February, 2012

Regular Paper Submission: July 26, 2011 Authors Notification (regular papers): October 6, 2011 Final Regular Paper Submission and Registration: October 26, 2011

Secretariat

ICPRAM Secretariat Address: Av. D. Manuel I, 27A, 2º esq.

            2910-595 Setúbal - Portugal~

Tel.: +351 265 100 033 Fax: +44 203 014 8556

e-mail: icpram.secretariat@insticc.org Web: http://www.icpram.org/