ICPRAM 2018 : 7th International Conference on Pattern Recognition Applications and Methods


7th International Conference on Pattern Recognition Applications and Methods ICPRAM

website: http://www.icpram.org/

January 16 – 18, 2018 Funchal, Madeira, Portugal

In Cooperation with: AAAI, AIXIA, APRP and INNS

Sponsored by: INSTICC

INSTICC is Member of: WfMC

Logistics Partner: SCITEVENTS

Endorsed by: IAPR


Regular Paper Submission: July 31, 2017

Authors Notification (regular papers): October 16, 2017

Final Regular Paper Submission and Registration: October 30, 2017


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.

Conference Topics:

Area 1: Theory and Methods

– Advanced Learning Methods

– Evolutionary Computation

– Exact and Approximate Inference

– Feature Selection and Extraction

– Fuzzy Logic

– Graphical and Graph-based Models

– Hybrid Learning Algorithms

– ICA, PCA, CCA and other Linear Models

– Kernel Methods

– Knowledge Acquisition and Representation

– Learning from Multiple Sources/Methods

– Bayesian Models

– Matrix Factorization

– Missing Data

– Model Selection

– Neural Networks and Deep Learning

– Regression

– Similarity and Distance Learning

– Sparsity

– Stochastic Methods

– Case-Based Reasoning

– Classification

– Clustering

– Computational Learning Theory and Optimization

– Deep Learning

– Embedding and Manifold Learning

– Ensemble Methods

Area 2: Applications

– Action Recognition

– Information Retrieval

– Learning in Process Automation and Control

– Medical Imaging

– Motion and Tracking

– Natural Language Processing

– Object Recognition/Tracking

– Robotics

– Sensors and Early Vision

– Shape Representation

– Signal Processing

– Audio and Speech Analysis

– Video Analysis

– Virtual Environments

– Web Applications

– Bioinformatics and Systems Biology

– Biometrics

– Document Analysis

– Economics, Business and Forecasting Applications

– Image Understanding

– Image-based Modelling

– Industry Related Applications


Ana Fred, Instituto de Telecomunicações / IST, Portugal


Maria De Marsico, Sapienza Università di Roma, Italy

Gabriella Sanniti di Baja, ICAR-CNR, Italy



ICPRAM Secretariat

Address: Av. D. Manuel I, 27A, 2º esq.

Tel: +351 265 520 185

Fax: +351 265 520 186

Web: http://www.icpram.org/

e-mail: icpram.secretariat@insticc.org

from CFPs on Artificial Intelligence : WikiCFP http://ift.tt/2tW8oni


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