Description: Graph Classification And Clustering Based On Vector Space EmbeddingAuthor(s): Kaspar Riesen, Horst Bunke Format: Hardback Publisher: World Scientific Publishing Co Pte Ltd, Singapore Imprint: World Scientific Publishing Co Pte Ltd ISBN-13: 9789814304719, 978-9814304719 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 [url] 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.
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Book Title: Graph Classification And Clustering Based On Vector Space Embe...
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2010
Subject: Computer Science
Number of Pages: 348 Pages
Language: English
Publication Name: Graph Classification and Clustering Based on Vector Space Embedding
Type: Textbook
Author: Horst Bunke, Kaspar Riesen
Series: Series in Machine Perception and Artificial Intelligence
Format: Hardcover
