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PR
2006
229views more  PR 2006»
13 years 10 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
CAGD
2005
93views more  CAGD 2005»
13 years 10 months ago
Simple local interpolation of surfaces using normal vectors
A simple algorithm for surface interpolation is proposed. Its central idea is quadratic interpolation of a curved segment from the position and normal vectors at the end points, w...
Takashi Nagata
IDEAL
2010
Springer
13 years 7 months ago
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Chen...
TWC
2010
13 years 4 months ago
On overloaded vector precoding for single-user MIMO channels
We address the possibility of overloaded vector precoding in single user MIMO channels, i.e. the number of data streams is larger than the minimum of the number of antennas at tran...
R. De Miguel, Vesna Gardasevic, Ralf R. Mülle...
ICML
2007
IEEE
14 years 11 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan