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» Feature Selection Algorithms: A Survey and Experimental Eval...
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JMLR
2010
104views more  JMLR 2010»
13 years 2 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
DAC
1997
ACM
14 years 2 days ago
Analysis and Evaluation of Address Arithmetic Capabilities in Custom DSP Architectures
—Many application-specific architectures provide indirect addressing modes with auto-increment/decrement arithmetic. Since these architectures generally do not feature an indexe...
Ashok Sudarsanam, Stan Y. Liao, Srinivas Devadas
AVBPA
2005
Springer
308views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Biometric Recognition Using Feature Selection and Combination
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
Ajay Kumar, David Zhang

Publication
352views
13 years 1 months ago
A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification
Ultrasonography is an invaluable and widely used medical imaging tool. Nevertheless, automatic texture analysis on ultrasound images remains a challenging issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
ALMOB
2007
74views more  ALMOB 2007»
13 years 8 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo