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» Is Feature Selection Still Necessary
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MIR
2004
ACM
105views Multimedia» more  MIR 2004»
14 years 4 days ago
Image recognition for digital libraries
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents i...
Bertrand Le Saux, Giuseppe Amato
TNN
2008
74views more  TNN 2008»
13 years 6 months ago
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector
The matrix, as an extended pattern representation to the vector, has proven to be effective in feature extraction. But the subsequent classifier following the matrix-pattern-orien...
Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang
BMCBI
2010
132views more  BMCBI 2010»
13 years 6 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
ICSE
2007
IEEE-ACM
14 years 6 months ago
Regression Test Selection for AspectJ Software
As aspect-oriented software development gains popularity, there is growing interest in using aspects to implement cross-cutting concerns in object-oriented systems. When aspect-or...
Guoqing Xu, Atanas Rountev
JMLR
2006
103views more  JMLR 2006»
13 years 6 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu