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» Learning Spectral Clustering
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CVPR
2006
IEEE
14 years 10 months ago
Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...
David Tolliver, Gary L. Miller
PR
2006
164views more  PR 2006»
13 years 8 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
FSKD
2009
Springer
143views Fuzzy Logic» more  FSKD 2009»
13 years 6 months ago
Spectral Clustering for Chinese Word
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
Ying Liu, Wang Nan, Tie Zheng
ICASSP
2010
IEEE
13 years 8 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams