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Computer Recognition Systems 4 [electronic resource] / edited by Robert Burduk, Marek Kurzyński, Michał Woźniak, Andrzej Żołnierek.

By: Burduk, Robert [editor.].
Contributor(s): Kurzyński, Marek [editor.] | Woźniak, Michał [editor.] | Żołnierek, Andrzej [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Intelligent and Soft Computing: 95Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XIV, 782p. 329 illus., 5 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642203206.Subject(s): Engineering | Artificial intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)DDC classification: 006.3 Online resources: Click here to access online
Contents:
From the content: -- Modified Ranked Order Adaptive Median Filter for Impulse Noise Removal -- Conceptual Design with the Use of Graph-Based Structures -- Instantaneous measurement of SNR in electrocardiograms based on quasi-continuous time-scale noise modeling -- Data Queuing for Non-uniform Telemedical Reporting -- Variable Complexity Reduction in Image Grade Decomposition -- Artefactual Reasoning in a Hypergraph-Based CAD System -- Analysis of Inter-Rater Agreement among Human Observers who Judge Image Similarity -- Estimation of Tolerance Relation on the Basis of Pairwise Comparisons.
In: Springer eBooksSummary: The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methods Medical applications, Miscellaneous applications, This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.
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From the content: -- Modified Ranked Order Adaptive Median Filter for Impulse Noise Removal -- Conceptual Design with the Use of Graph-Based Structures -- Instantaneous measurement of SNR in electrocardiograms based on quasi-continuous time-scale noise modeling -- Data Queuing for Non-uniform Telemedical Reporting -- Variable Complexity Reduction in Image Grade Decomposition -- Artefactual Reasoning in a Hypergraph-Based CAD System -- Analysis of Inter-Rater Agreement among Human Observers who Judge Image Similarity -- Estimation of Tolerance Relation on the Basis of Pairwise Comparisons.

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methods Medical applications, Miscellaneous applications, This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.

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