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» Computing regularization paths for learning multiple kernels
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TCS
2008
13 years 7 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ICPR
2008
IEEE
14 years 2 months ago
Regularized discriminant analysis for transformation-invariant object recognition
We present a novel method for incorporating prior knowledge about invariances in object recognition for discriminant analysis. In contrast to conventional isotropic regularization...
Yung-Kyun Noh, Jihun Ham, Daniel D. Lee
ADCM
2007
114views more  ADCM 2007»
13 years 7 months ago
Convergence analysis of online algorithms
In this paper, we are interested in the analysis of regularized online algorithms associated with reproducing kernel Hilbert spaces. General conditions on the loss function and st...
Yiming Ying
ICCV
2007
IEEE
14 years 9 months ago
Removing Non-Uniform Motion Blur from Images
We propose a method for removing non-uniform motion blur from multiple blurry images. Traditional methods focus on estimating a single motion blur kernel for the entire image. In ...
Sunghyun Cho, Yasuyuki Matsushita, Seungyong Lee
ECCV
2004
Springer
14 years 9 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...