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» A Tutorial on Spectral Clustering
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UAI
2003
13 years 8 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
NIPS
2008
13 years 8 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
SPIN
2007
Springer
14 years 1 months ago
Tutorial: Parallel Model Checking
d Abstract) Luboˇs Brim and Jiˇr´ı Barnat Faculty of Informatics, Masaryk University, Brno, Czech Republic With the increase in the complexity of computer systems, it becomes e...
Lubos Brim, Jiri Barnat
ARC
2010
Springer
128views Hardware» more  ARC 2010»
13 years 10 months ago
Reconfigurable Polyphase Filter Bank Architecture for Spectrum Sensing
Abstract. This paper presents a brief tutorial and background on implementing filter banks for spectrum sensing. It discusses the advantages of this approach over standard FFT-base...
Suhaib A. Fahmy, Linda Doyle
PAMI
2010
192views more  PAMI 2010»
13 years 5 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens