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Graph Classification And Clustering Based On Vector Space Embedding (Hardcover) Loot Price: R3,023
Discovery Miles 30 230
Repayment Terms: R283 pm x 12*
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Graph Classification And Clustering Based On Vector Space Embedding (Hardcover): Kaspar Riesen, Horst Bunke

Graph Classification And Clustering Based On Vector Space Embedding (Hardcover)

Kaspar Riesen, Horst Bunke

Series: Series In Machine Perception And Artificial Intelligence, 77

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Loot Price R3,023 Discovery Miles 30 230 | Repayment Terms: R283 pm x 12*

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This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.

This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Series: Series In Machine Perception And Artificial Intelligence, 77
Release date: May 2010
First published: July 2010
Authors: Kaspar Riesen • Horst Bunke
Dimensions: 232 x 163 x 25mm (L x W x T)
Format: Hardcover
Pages: 348
ISBN-13: 978-981-4304-71-9
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
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LSN: 981-4304-71-9
Barcode: 9789814304719

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