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TSP
2008
178views more  TSP 2008»
15 years 3 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
FSTTCS
2001
Springer
15 years 8 months ago
Semidefinite Programming Based Approximation Algorithms
Semidefinite programming based approximation algorithms, such as the Goemans and Williamson approximation algorithm for the MAX CUT problem, are usually shown to have certain perf...
Uri Zwick
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
15 years 5 months ago
Approximating Representations for Large Numerical Databases
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
Szymon Jaroszewicz, Marcin Korzen
DAGM
2010
Springer
15 years 5 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
CGF
2005
170views more  CGF 2005»
15 years 3 months ago
Structure Recovery via Hybrid Variational Surface Approximation
Aiming at robust surface structure recovery, we extend the powerful optimization technique of variational shape approximation by allowing for several different primitives to repre...
Jianhua Wu, Leif Kobbelt