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» Limits of Spectral Clustering
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AUSAI
2009
Springer
13 years 11 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
IJCAI
2003
13 years 9 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
ICML
2006
IEEE
14 years 9 months ago
An investigation of computational and informational limits in Gaussian mixture clustering
We investigate under what conditions clustering by learning a mixture of spherical Gaussians is (a) computationally tractable; and (b) statistically possible. We show that using p...
Nathan Srebro, Gregory Shakhnarovich, Sam T. Rowei...
CORR
2010
Springer
259views Education» more  CORR 2010»
13 years 8 months ago
Community Detection in Networks: The Leader-Follower Algorithm
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...
Devavrat Shah, Tauhid Zaman
CVPR
2004
IEEE
14 years 10 months ago
Using Skew Gabor Filter in Source Signal Separation and Local Spectral Multi-Orientation Analysis
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme with optimal properties regarding the time-frequency uncertainty principle. How...
Weichuan Yu, Gerald Sommer, Kostas Daniilidis