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ML
2002
ACM
223views Machine Learning» more  ML 2002»
14 years 11 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
DAC
2003
ACM
16 years 24 days ago
Using estimates from behavioral synthesis tools in compiler-directed design space exploration
This paper considers the role of performance and area estimates from behavioral synthesis in design space exploration. We have developed a compilation system that automatically ma...
Byoungro So, Pedro C. Diniz, Mary W. Hall
IJCV
1998
168views more  IJCV 1998»
14 years 11 months ago
Rapid Anisotropic Diffusion Using Space-Variant Vision
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
Bruce Fischl, Michael A. Cohen, Eric L. Schwartz
SCALESPACE
2007
Springer
15 years 6 months ago
Restoration of Images with Piecewise Space-Variant Blur
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
ICML
2007
IEEE
16 years 19 days ago
A kernel path algorithm for support vector machines
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky