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PAMI
2010
192views more  PAMI 2010»
13 years 6 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
ICIP
2003
IEEE
14 years 10 months ago
Dither-modulation data hiding with distortion-compensation: exact performance analysis and an improved detector for JPEG attacks
The binary Distortion Compensated Dither-Modulation (DCDM), which can be regarded to as a baseline for quantizationbased data-hiding methods, is rigorously analyzed. A novel and a...
Félix Balado, Fernando Pérez-Gonz&aa...
CBMS
2007
IEEE
14 years 2 months ago
Influence of Dictionary Size on the Lossless Compression of Microarray Images
A key challenge in the management of microarray data is the large size of images that constitute the output of microarray experiments. Therefore, only the expression values extrac...
Robert Bierman, Rahul Singh
NIPS
2001
13 years 9 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
MP
2010
162views more  MP 2010»
13 years 6 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng