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Introduction

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.

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.

Call for paper

Important date

2016-11-16
Draft paper submission deadline

Submission Topics

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

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Important Date

  • Conference Date

    Feb 24

    2017

    to

    Feb 26

    2017

  • Nov 16 2016

    Draft paper submission deadline

  • Feb 26 2017

    Registration deadline

Contact Information
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