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Can I read Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence) on EtoBox?
Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence) by Kaspar Riesen & Horst Bunke is a nonfiction available to read on EtoBox.
What is Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence) about?
"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."--BOOK JACKET
Who reads Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kaspar Riesen & Horst Bunke
- Publisher
- World Scientific Publishing Company
- Published
- 2010
- Language
- EN
- ISBN
- 9789814304719
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Stem
Other editions & translations
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