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» A Tutorial on Spectral Clustering
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MM
2005
ACM
122views Multimedia» more  MM 2005»
14 years 27 days ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 18 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
PR
2006
164views more  PR 2006»
13 years 7 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
EDBT
2011
ACM
197views Database» more  EDBT 2011»
12 years 11 months ago
Symmetrizations for clustering directed graphs
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
Venu Satuluri, Srinivasan Parthasarathy
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 27 days ago
Web image clustering by consistent utilization of visual features and surrounding texts
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...