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CIKM
2010
Springer
15 years 19 days ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ICPR
2008
IEEE
15 years 9 months ago
Combining local descriptors for 3D object recognition and categorization
Various local descriptors have been used successfully in a variety of tasks including object recognition. Although different descriptors have been shown to have different strength...
Andrea Salgian
TIFS
2008
121views more  TIFS 2008»
15 years 3 months ago
Effect of Severe Image Compression on Iris Recognition Performance
We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for ide...
John Daugman, Cathryn Downing
ICPR
2008
IEEE
15 years 9 months ago
Extraction of complex wavelet features for iris recognition
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform’s propert...
XiaoFu He, Pengfei Shi
ICPR
2006
IEEE
16 years 4 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao