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ICIP
2010
IEEE
13 years 6 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 8 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
The SenseCam is a passive capture wearable camera, worn around the neck, and when worn continuously it takes an average of 1,900 images per day. It can be used to create a persona...
Aiden R. Doherty, Daragh Byrne, Alan F. Smeaton, G...
DKE
2007
88views more  DKE 2007»
13 years 8 months ago
Regression analysis for massive datasets
In this paper, a two-stage block hypothesis testing following the idea of Fan, Lin and Cheng (2004) is proposed for massive data regression analysis. Variables selection criteria ...
Tsai-Hung Fan, Dennis K. J. Lin, Kuang-Fu Cheng
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 9 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu