50 search results - page 6 / 10 » A Selective Sampling Strategy for Label Ranking |
113
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CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
105
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ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
84
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PAA
2007
14 years 9 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
MM
2004
ACM
15 years 2 months ago
2004
ACM
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...