654 search results - page 90 / 131 » TRUST-TECH based Methods for Optimization and Learning |
115
Voted
MM
2005
ACM
15 years 6 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
115
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
118
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
141
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MM
2004
ACM
15 years 6 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
116
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IJON
2007
15 years 18 days ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...