Pattern Recognition - Applications and Methods
Subtitle: International Conference, ICPRAM 2012 Vilamoura, Algarve, Portugal, February 6-8, 2012 Revised Selected Papers
By: edited by Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred
Contributors: Sánchez, J. Salvador; Fred, Ana L.N.; SpringerLink (Online service)
Series: Advances in Intelligent and Soft Computing -- 204
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 205
ISBN-13: 9783642365300
Subjects: Computer Imaging, Vision, Pattern Recognition and Graphics; Computer vision; Artificial Intelligence (incl. Robotics); Engineering; Artificial intelligence; Computational intelligence
Description: This edited book includes extended and revised versions of a set of selected papers from the First International Conference on Pattern Recognition (ICPRAM 2012), held in Vilamoura, Algarve, Portugal, from 6 to 8 February, 2012, sponsored by the Institute for Systems and Technologies of Information Control and Communication (INSTICC) and held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2). The conference brought together researchers, engineers and practitioners interested on the areas of Pattern Recognition, both from theoretical and application perspectives.
Table of contents: title: From the Contents: Pattern Recognition as an Indicator of Diagnostic Expertise; title: Analysis of Factorial Designs with the Consideration of Interactions via the Stepwise Response Refinement Screener (SRRS); title: Object Detection with Semi-local Features; title: Inferring Time Varying Dynamic Linear Model Parameters from a Mixture Model; title: A Performance Evaluation of Mutual Information Estimators for Multivariate Feature Selection; title: Modelling and Explaining Online News Preferences; title: Combining Graph Seriation and Substructures Mining for Graph Recognition.