ENGLISH

The Dissimilarity Representation for Pattern Recognition: Foundations and Applications

Book information

Publisher
World Scientific Publishing Company
Year
2005
ISBN
9812565302, 9789812565303, 9789812703170
ISSN
0923-0459
Open Library ID
OL17213483M
Language
english
Format
DJVU
Filesize
6 MB (6066217 bytes)
Series
Machine Perception and Artificial Intelligence 64
Pages
634\634
Library
Kolxo3
DPI
300
Scanned
yes
Time added
2010-11-11 16:01:50

Description

This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition. Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis. With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.

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