1405 search results - page 73 / 281 » Anytime Algorithm for Feature Selection |
105
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CVPR
2008
IEEE
2008
IEEE
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
16 years 4 months ago
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
112
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IDA
2002
Springer
15 years 2 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
138
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EVOW
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
100
Voted
ICAISC
2004
Springer
15 years 7 months ago
2004
Springer
In the paper, a new evolutionary approach to induction of oblique decision trees is described. In each non-terminal node, the specialized evolutionary algorithm is applied to searc...
MVA
1996
15 years 3 months ago
1996
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...