Proceedings of the 10th International Conference on Computer Recognition Systems Cores 2017

ISBN-13: 9783319591612 / Angielski / Miękka / 2017 / 508 str.

Marek Kurzynski; Michal Wozniak; Robert Burduk

Spis treści

Recognition of Fuzzy or Incompletely Described Objects .- Evaluating and Comparing Classifiers: Review, Somem Recommendations and Limitations.- Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering.- Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods.- Novel Results on Random Walk-Jump Chains that Possess Tree-based Transitions.- Travel Time Prediction for Trams in Warsaw .- Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements.- Gait Recognition Using Motion Trajectory Analysis.- Methodology of the Construction of a GDPLL(k) Grammar-based Syntactic Pattern Recognition System.- Determining of an Estimate of the Equivalence Relation on the Basis of Pairwise Comparisons.- Classification of Body Regions based on MRI Log Files.- Semi-automatic Segmentation of Scattered and Distributed Objects.- Playback Attack Detection: The Search for the Ultimate Set of Antispoof Features.- A Vision-Based Method for Automatic Crack Detection in Railway Sleepers.- Towards Privacy-aware Keyboards.

Blurb

This book offers a comprehensive study of computer recognition systems – one of the most promising directions in artificial intelligence. It presents a collection of 52 carefully selected articles contributed by experts in the field of pattern recognition, discussing both methodological aspects and applications of current research. It includes the following sections:

·  Features, learning, and classifiers

·  Biometrics

·  Data stream classification and big data analytics

·  Image processing and computer vision

·  Medical applications

·  Applications

It is a valuable reference tool for scientists dealing with the problems of designing computer pattern recognition systems, including researchers and students of computer science, artificial intelligence and robotics.