Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 [electronic resource] / edited by Marek Kurzynski, Michal Wozniak, Robert Burduk.

Colaborador(es): Kurzynski, Marek [editor.] | Wozniak, Michal [editor.] | Burduk, Robert [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Advances in Intelligent Systems and Computing ; 578Editor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XV, 508 p. 167 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319591629Tema(s): Computational intelligence | Artificial intelligence | Pattern recognition | Computational Intelligence | Artificial Intelligence | Pattern RecognitionFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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Acceso multiusuario

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.

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.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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