189 search results - page 25 / 38 » Unsupervised Nonlinear Manifold Learning |
141
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NIPS
2001
15 years 3 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
124
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PR
2007
15 years 1 months ago
2007
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
128
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AAAI
2007
15 years 4 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
151
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TIP
2002
15 years 2 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
107
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...