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TVCG
2008
136views more  TVCG 2008»
14 years 11 months ago
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...
Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, H...
PAMI
2011
14 years 6 months ago
Approximate Nearest Subspace Search
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
CEC
2009
IEEE
15 years 6 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ICIP
2008
IEEE
15 years 6 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
APPROX
2006
Springer
120views Algorithms» more  APPROX 2006»
15 years 3 months ago
Approximating Average Parameters of Graphs
Inspired by Feige (36th STOC, 2004), we initiate a study of sublinear randomized algorithms for approximating average parameters of a graph. Specifically, we consider the average ...
Oded Goldreich, Dana Ron