5th Int. Conf. on Pattern Recognition Applications and Methods

Memo

Regular Papers

Paper Submission: September 10, 2015

Authors Notification: December 2, 2015

Camera Ready and Registration: December 16, 2015



Position Papers

Paper Submission: November 2, 2015

Authors Notification: December 4, 2015

Camera Ready and Registration: December 18, 2015



Workshops

Workshop Proposal: September 11, 2015



Doctoral Consortium

Paper Submission: December 3, 2015

Authors Notification: December 11, 2015

Camera Ready and Registration: December 22, 2015



Special Sessions

Special Session Proposal: September 23, 2015



Tutorials, Demos and Panel Proposals

October 16, 2015



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.



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

• 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 LECTURES

Arun Ross, Michigan State University, United States

Ludmila Kuncheva, School of Computer Science, Bangor University, United Kingdom

Fabio Roli, Università degli Studi di Cagliari, Italy



ICPRAM CONFERENCE CHAIR

Ana Fred, Instituto de Telecomunicações / IST, Portugal



PROGRAM CO-CHAIRS

Maria De Marsico, Sapienza Università di Roma, Italy

Gabriella Sanniti di Baja, Institute of Cybernetics "E.Caianiello", CNR, Italy



PROGRAM COMMITTEE

http://www.icpram.org/ProgramCommittee.aspx



ICPRAM Secretariat

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