Graph Classification And Clustering Based On Vector Space Embedding: 77 (Series In Machine Perception And Artificial Intelligence) - Hardcover

Riesen Kaspar & Bunke Horst

Hardcover

ISBN 10: 9814304719 ISBN 13: 9789814304719

Publisher: World Scientific Publishing, 2011

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: World Scientific Publishing
• Publication date: 2011
• Language: English
• ISBN 10: 9814304719
• ISBN 13: 9789814304719
• Binding: Hardcover
• Number of pages: 330