207 search results - page 11 / 42 » Regularized Principal Manifolds |
133
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MOR
2008
15 years 4 months ago
2008
We prove that if two smooth manifolds intersect transversally, then the method of alternating projections converges locally at a linear rate. We bound the speed of convergence in ...
124
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COLT
2004
Springer
15 years 10 months ago
2004
Springer
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
165
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
173
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PAMI
2008
15 years 4 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
133
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NIPS
2000
15 years 5 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...