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» Spectral Methods for Automatic Multiscale Data 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 ...
UAI
2003
13 years 9 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
INFOCOM
2003
IEEE
14 years 1 months ago
Spectral Analysis of Internet Topologies
Abstract— We perform spectral analysis of the Internet topology at the AS level, by adapting the standard spectral filtering method of examining the eigenvectors corresponding t...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
ICIP
2005
IEEE
14 years 9 months ago
Locally adaptive multiscale contrast optimization
We describe a method for automatically and adaptively boosting the visibility of local features in an image. A log intensity image is first decomposed into a set of subbands at mu...
Nicolas Bonnier, Eero P. Simoncelli