SCOPE

The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, 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 AREAS

Each of the 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

    Advanced Learning Methods
    Linear Models and Dimensionality Reduction
    Machine Learning Methods
    Model Representation and Selection
    Shape Representation
    Signal Processing
    Bayesian Models and Stochastic Methods
    Classification and Clustering
    Deep Learning and Neural Networks
    Ensemble Methods
    Feature Selection and Extraction
    Knowledge Acquisition and Representation

AREA 2: APPLICATIONS

    Audio and Speech Analysis
    Motion Tracking and Action Recognition
    Natural Language Processing
    Robotics
    Sensors and Early Vision
    Virtual Environments
    Bioinformatics and Systems Biology
    Biometrics
    Data Mining and Algorithms for Big Data
    Document Analysis
    Image and Video Analysis and Understanding
    Industry Related Applications
    Information Retrieval
    Medical Imaging