134 search results - page 11 / 27 » Random Projections for Manifold Learning |
169
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NIPS
2007
15 years 8 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
173
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NPL
2000
15 years 6 months ago
2000
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
189
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SDM
2010
SIAM
15 years 4 months ago
2010
SIAM
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
184
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SCALESPACE
2007
Springer
16 years 1 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
180
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...