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» Is Feature Selection Still Necessary
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MIR
2004
ACM
105views Multimedia» more  MIR 2004»
15 years 10 months 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»
15 years 4 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»
15 years 4 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
16 years 4 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»
15 years 4 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