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» Robust Feature Selection Algorithms
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137
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JMLR
2008
131views more  JMLR 2008»
15 years 2 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
147
Voted
ICIP
2007
IEEE
16 years 4 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
119
Voted
ECCV
2010
Springer
15 years 8 months ago
Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
ISSTA
2006
ACM
15 years 8 months ago
A regression tests selection technique for aspect-oriented programs
As the Aspect-Oriented Software Development gains popularity, there is growing interest as developing for existing object-oriented software aspects to address the crosscutting pro...
Guoqing Xu
ICMI
2005
Springer
121views Biometrics» more  ICMI 2005»
15 years 8 months ago
Gaze-based selection of standard-size menu items
With recent advances in eye tracking technology, eye gaze gradually gains acceptance as a pointing modality. Its relatively low accuracy, however, determines the need to use enlar...
Oleg Spakov, Darius Miniotas