| Graph Classification and Clustering Based on Vector Space Embedding Contributor(s): Riesen, Kaspar (Author), Bunke, Horst (Author) |
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ISBN: 9814304719 ISBN-13: 9789814304719 Publisher: World Scientific Publishing Company OUR PRICE: $118.75 Product Type: Hardcover - Other Formats Published: July 2010 |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Machine Theory |
| Dewey: 006.42 |
| Series: Series in Machine Perception and Artifical Intelligence |
| Physical Information: 0.9" H x 6.2" W x 9" (1.40 lbs) 348 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |