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
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel.: +351 265 100 033
Fax: +44 203 014 8813
e-mail: icpram.secretariat@insticc.org
Web: http://www.icpram.org/