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» Document clustering via adaptive subspace iteration
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SIGIR
2004
ACM
13 years 10 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
NIPS
2007
13 years 6 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
ICIP
2006
IEEE
13 years 10 months ago
Optimal Display Adaptation of Iconic Document Visualizations via BFOS-Style Tree Pruning
This paper introduces a new visual representation of a document or group of documents, a Dynamic Document Icon, or Dydocon. Its representation is symbolic like an icon, but change...
Kathrin Berkner, Michael J. Gormish
ICML
2009
IEEE
14 years 5 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
13 years 10 months ago
High-diagnosability online built-in self-test of FPGAs via iterative bootstrapping
We develop a novel on-line built-in self-test (BIST) technique for testing FPGAs that has a very high diagnosability even in presence of clustered faults, a fault pattern for whic...
Vishal Suthar, Shantanu Dutt