5046 search results - page 78 / 1010 » Feature Selection from Huge Feature Sets |
185
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ICASSP
2008
IEEE
16 years 24 days ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
231
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
153
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ESANN
2007
15 years 7 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
169
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IJCV
2008
15 years 6 months ago
2008
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
171
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...