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NPL
2006
130views more  NPL 2006»
15 years 20 days 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...
138
Voted
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
15 years 19 days 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...
59
Voted
CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
15 years 18 days 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
75
Voted
TIT
2002
64views more  TIT 2002»
15 years 11 days 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
119
Voted
SAC
2008
ACM
15 years 6 days 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...