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CVPR
2011
IEEE
13 years 6 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
STOC
1993
ACM
123views Algorithms» more  STOC 1993»
14 years 2 months ago
Constructing small sample spaces satisfying given constraints
Abstract. The subject of this paper is nding small sample spaces for joint distributions of n discrete random variables. Such distributions are often only required to obey a certa...
Daphne Koller, Nimrod Megiddo
TKDE
2008
141views more  TKDE 2008»
13 years 9 months ago
Location Fingerprinting In A Decorrelated Space
We present a novel approach to the problem of the indoor localization in wireless environments. The main contribution of this paper is four folds: (a) We show that, by projecting t...
Shih-Hau Fang, Tsung-Nan Lin, Po-Chiang Lin
NIPS
2003
13 years 11 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...
ALT
2008
Springer
14 years 7 months ago
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
Arthur Gretton, László Györfi