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