38 search results - page 1 / 8 » Dimensionality Reduction and Clustering on Statistical Manif... |
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
103
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ICPR
2008
IEEE
16 years 10 days ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
83
Voted
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
92
Voted
NIPS
2004
15 years 15 days ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
110
Voted
NIPS
2001
15 years 15 days ago
2001
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...