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Current Trends in Bayesian Methodology with Applications
book

Current Trends in Bayesian Methodology with Applications

by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 2015
Intermediate to advanced content levelIntermediate to advanced
680 pages
22h 33m
English
Chapman and Hall/CRC
Content preview from Current Trends in Bayesian Methodology with Applications
13
Scalable Subspace Clustering with Application
to Motion Segmentation
Liangjing Ding
Florida State University
Adrian Barbu
Florida State University
CONTENTS
13.1 Intro ductio n . . . . . . . . .. . . . . . .. .. . . . . . .. . . .. . . . .. . . .. . . . .. .. . . . .. .. . 267
13.2 Subspace Clustering by Spectr al Clustering . . . .. . . . .. . . .. . . . . . .. 269
13.3 Scalable Subspace Clustering by Swendsen–Wang Cuts . . . .. . . .. 270
13.3.1 Posterior probability .. . . .. . . . .. .. .. . .. . . .. . . . .. . . .. . . . . . . 271
13.3.2 Overview of the Swendsen–Wang Cuts algorithm .. . . .. 271
13.3.3 Graph construction . . . .. . . .. . . . .
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Publisher Resources

ISBN: 9781482235128