5046 search results - page 34 / 1010 » Feature Selection from Huge Feature Sets |
124
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
128
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IJCNN
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
121
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EMNLP
2009
14 years 11 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
121
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COLING
2008
15 years 3 months ago
2008
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
128
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AAAI
2008
15 years 4 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...