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CSDA
2007
152views more  CSDA 2007»
13 years 7 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
TCOM
2010
83views more  TCOM 2010»
13 years 2 months ago
Global and Fast Receiver Antenna Selection for MIMO Systems
Abstract--For a multiple-input multiple-output (MIMO) system with more antennas at the receiver than the transmitter, selecting the same number of receiver antennas as the number o...
Bu Hong Wang, Hon Tat Hui, Mook Seng Leong
ISCC
2003
IEEE
14 years 28 days ago
Provisioning Algorithms in Survivable Optical Networks with Shared Protection
The efficient use of network capacity strongly depends upon the path selection procedure. In this paper we propose and evaluate efficient path selection algorithms for survivable ...
Chadi Assi, Ahmad Khalil, Nasir Ghani, Mohamed A. ...
IJCNN
2000
IEEE
13 years 11 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
DICTA
2003
13 years 9 months ago
A Model Set Based Object Segmentation Method Using Level Set Approach
Abstract. A novel approach for model set based object segmentation is described. The proposed method enables the using of a model set to guide the object segmentation. The object s...
Xun Wang, Zhigang Peng, Feng Gao, William G. Wee