CALL FOR PAPERS

 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
    Document Analysis and Understanding
    Character Recognition
    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
Harry Wechsler, George Mason University, United States
Josef Kittler, University of Surrey, United Kingdom