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The Resource The dissimilarity representation for pattern recognition : foundations and applications, Elżbieta Pękalska, Robert P.W. Duin, (electronic resource)

The dissimilarity representation for pattern recognition : foundations and applications, Elżbieta Pękalska, Robert P.W. Duin, (electronic resource)

Label
The dissimilarity representation for pattern recognition : foundations and applications
Title
The dissimilarity representation for pattern recognition
Title remainder
foundations and applications
Statement of responsibility
Elżbieta Pękalska, Robert P.W. Duin
Creator
Contributor
Subject
Language
eng
Summary
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 in
Member of
Cataloging source
IOD
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • standards specifications
  • bibliography
Series statement
Series in machine perception and artificial intelligence
Series volume
v. 64
The dissimilarity representation for pattern recognition : foundations and applications, Elżbieta Pękalska, Robert P.W. Duin, (electronic resource)
Label
The dissimilarity representation for pattern recognition : foundations and applications, Elżbieta Pękalska, Robert P.W. Duin, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=296110
Publication
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Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
Preface; Notation and basic terminology; Abbreviations; Contents; 1. Introduction; 1.1 Recognizing the pattern; 1.2 Dissimilarities for representation; 1.3 Learning from examples; 1.4 Motivation of the use of dissimilarity representations; 1.5 Relation to kernels; 1.6 Outline of the book; 1.7 In summary; PART 1 Concepts and theory; 2. Spaces; 3. Characterization of dissimilarities; 4. Learning approaches; 5. Dissimilarity measures; PART 2 Practice; 6. Visualization; 7. Further data exploration; 8. One-class classifiers; 9. Classification; 10. Combining
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Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3227673'}
Extent
1 online resource (xxvi, 607 p.)
Form of item
online
Isbn
9789812703170
Isbn Type
(electronic bk.)
Other physical details
ill.
Specific material designation
remote
System control number
(OCoLC)232160011

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