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GRAPH CLASSIFICATION & CLUSTERING .(V77) - Riesen Kaspar

Anglų
2010-04-29
155,41 € 239,09 €

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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 vecto ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Riesen Kaspar
Leidėjas World Scientific
Išleidimo metai 2010
Viršelio tipas Kieti viršeliai
EAN 9789814304719
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155,41 € 239,09 €