875 search results - page 6 / 175 » Linear Manifold Clustering |
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JMLR
2010
14 years 7 months ago
2010
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
102
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
131
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
The mean shift algorithm, which is a nonparametric density
estimator for detecting the modes of a distribution on a
Euclidean space, was recently extended to operate on analytic
...
122
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GRC
2008
IEEE
15 years 1 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
95
Voted
ICMLA
2007
15 years 2 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...