Graph Embedding for Pattern Analysis (Record no. 56454)
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000 -LEADER | |
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fixed length control field | 02960nam a22004935i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4614-4457-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112038.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 121117s2013 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781461444572 |
-- | 978-1-4614-4457-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
245 10 - TITLE STATEMENT | |
Title | Graph Embedding for Pattern Analysis |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | VIII, 260 p. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces -- Feature Grouping and Selection over an Undirected Graph -- Median Graph Computation by Means of Graph Embedding into Vector Spaces -- Patch Alignment for Graph Embedding -- Feature Subspace Transformations for Enhancing K-Means Clustering -- Learning with �1-Graph for High Dimensional Data Analysis -- Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition -- A Flexible and Effective Linearization Method for Subspace Learning -- A Multi-Graph Spectral Approach for Mining Multi-Source Anomalies -- Graph Embedding for Speaker Recognition. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Graph Embedding for Pattern Analysis covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field. |
700 1# - AUTHOR 2 | |
Author 2 | Fu, Yun. |
700 1# - AUTHOR 2 | |
Author 2 | Ma, Yunqian. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4614-4457-2 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New York, NY : |
-- | Springer New York : |
-- | Imprint: Springer, |
-- | 2013. |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electrical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Communications Engineering, Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern Recognition. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Image and Speech Processing. |
912 ## - | |
-- | ZDB-2-ENG |
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