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» Feature Selection from Huge Feature Sets
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
Search--based approaches to the component selection and prioritization problem
This poster paper addresses the problem of choosing sets of software components to combine in component
Mark Harman, Alexandros Skaliotis, Kathleen Steinh...
CORR
2002
Springer
63views Education» more  CORR 2002»
15 years 6 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
ICIP
2008
IEEE
16 years 8 months ago
Complex discriminant features for object classification
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
Sunhyoung Han, Nuno Vasconcelos
ICDAR
2007
IEEE
15 years 10 months ago
On the Use of Lexeme Features for Writer Verification
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents ...
A. Bhardwaj, A. Singh, Harish Srinivasan, Sargur N...
CVPR
2010
IEEE
16 years 2 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun