784 search results - page 8 / 157 » Diffeomorphic Dimensionality Reduction |
139
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SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
104
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SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
87
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ACMSE
2005
ACM
15 years 5 months ago
2005
ACM
This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing ...
117
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ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
91
Voted
AAAI
2010
15 years 1 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...