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TNN
2008
97views more  TNN 2008»
15 years 6 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
PAMI
2010
337views more  PAMI 2010»
15 years 4 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
CVPR
2011
IEEE
15 years 2 months ago
Identifying Players in Broadcast Sports Videos using Conditional Random Fields
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are m...
Wei-Lwun Lu, Jo-Anne Ting, Kevin Murphy, Jim Littl...
ISM
2008
IEEE
100views Multimedia» more  ISM 2008»
16 years 27 days ago
Robust Edge Detection Based on Non-local Contribution of Local Frequency Characteristics
This paper introduces a robust approach to the problem of edge detection in situations characterized by high levels of image degradation and illumination non-uniformity. Popular e...
Alexander Wong, William Bishop
WIOPT
2010
IEEE
15 years 4 months ago
K-shell decomposition for dynamic complex networks
—K-shell (or k-core) graph decomposition methods were introduced as a tool for studying the structure of large graphs. K-shell decomposition methods have been recently proposed [...
Daniele Miorandi, Francesco De Pellegrini