14 search results - page 2 / 3 » Compressed learning of high-dimensional sparse functions |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
High dimensionality of POMDP's belief state space is one major cause that makes the underlying optimal policy computation intractable. Belief compression refers to the method...
CAIP
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
COLT
2010
Springer
13 years 3 months ago
2010
Springer
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...