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ICML
2005
IEEE
16 years 7 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ICML
2005
IEEE
16 years 7 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai
ISBI
2004
IEEE
16 years 7 months ago
Wavelet-Based fMRI Statistical Analysis and Spatial Interpretation: A Unifying Approach
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Dimitri Van De Ville, Thierry Blu, Michael Unser
ISBI
2004
IEEE
16 years 7 months ago
Compact Support Radial Basis Functions for Soft Tissue Deformation
We describe the use of compact support radial basis functions (CSRBFs) for simulation of soft tissue deformation. CSRBFs allow surface and volumetric deformations to be computed i...
Mark P. Wachowiak, Xiaogang Wang, Aaron Fenster, T...
CAV
2009
Springer
150views Hardware» more  CAV 2009»
16 years 7 months ago
Automated Analysis of Java Methods for Confidentiality
We address the problem of analyzing programs such as J2ME midlets for mobile devices, where a central correctness requirement concerns confidentiality of data that the user wants t...
Pavol Cerný, Rajeev Alur