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» Laplacian PCA and Its Applications
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TNN
2008
128views more  TNN 2008»
13 years 6 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
STOC
2010
ACM
269views Algorithms» more  STOC 2010»
13 years 11 months ago
Approximations for the Isoperimetric and Spectral Profile of Graphs and Related Parameters
The spectral profile of a graph is a natural generalization of the classical notion of its Rayleigh quotient. Roughly speaking, given a graph G, for each 0 < < 1, the spect...
Prasad Raghavendra, David Steurer and Prasad Tetal...
TOG
2008
239views more  TOG 2008»
13 years 6 months ago
Skeleton extraction by mesh contraction
eleton is a very useful 1D structure to abstract the geometry and topology of a 3D object. Extraction of curve-skeletons is a fundamental problem in computer graphics, visualizatio...
Oscar Kin-Chung Au, Chiew-Lan Tai, Hung-Kuo Chu, D...
BMCBI
2006
115views more  BMCBI 2006»
13 years 6 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
SIGGRAPH
2009
ACM
14 years 1 months ago
Spectral mesh processing
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
Bruno Lévy, Hao Zhang 0002