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ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, a method to generalize previously proposed Chebyshev Kernel function is presented for Support Vector Classification in order to obtain more robust and higher classi...
146
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PR
2008
15 years 3 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
119
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ICCV
1999
IEEE
15 years 7 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
150
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
135
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ICCV
1998
IEEE
15 years 7 months ago
1998
IEEE
This paper describes a new algorithm for solving the N-camera stereo correspondence problem by transforming it into a maximum- ow problem. Once solved, the minimum-cut associated ...