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» Margin Maximizing Discriminant Analysis
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ICPR
2008
IEEE
15 years 4 months ago
Harmonic mean for subspace selection
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
Wei Bian, Dacheng Tao
ICML
2006
IEEE
15 years 10 months ago
Iterative RELIEF for feature weighting
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
Yijun Sun, Jian Li
IJON
2008
121views more  IJON 2008»
14 years 9 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
NPL
2006
130views more  NPL 2006»
14 years 9 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
TWC
2008
158views more  TWC 2008»
14 years 9 months ago
Transmission capacity of ad hoc networks with spatial diversity
This paper derives the outage probability and transmission capacity of ad hoc wireless networks with nodes employing multiple antenna diversity techniques, for a general class of ...
Andrew M. Hunter, Jeffrey G. Andrews, Steven Weber