
Computer Recognition Systems 4
Springer (Publisher)
Published on 5. April 2011
Book
Paperback/Softback
XIV, 782 pages
978-3-642-20319-0 (ISBN)
Description
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.
More details
Series
Edition
2011 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
324 s/w Abbildungen, 5 farbige Abbildungen
XIV, 782 p. 329 illus., 5 illus. in color.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
1177 gr
ISBN-13
978-3-642-20319-0 (9783642203190)
DOI
10.1007/978-3-642-20320-6
Schweitzer Classification
Other editions
Additional editions

Robert Burduk | Marek Kurzynski | Michal Wozniak
Computer Recognition Systems 4
E-Book
04/2011
1st Edition
Springer
€309.23
Available for download
Content
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.