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NPL
2006
130views more  NPL 2006»
13 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...
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
13 years 9 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
13 years 9 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
TIT
2002
64views more  TIT 2002»
13 years 8 months ago
Performance of blind and group-blind multiuser detectors
Abstract--In blind and group-blind multiuser detection, different detectors can be designed using either the sample data covariance matrix directly or its eigencomponents. Due to f...
Anders Høst-Madsen, Xiaodong Wang
SAC
2008
ACM
13 years 8 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...