149 search results - page 3 / 30 » Semi-supervised nonlinear dimensionality reduction |
87
Voted
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
Voted
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...
KDD
2002
ACM
16 years 2 days ago
2002
ACM
105
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ROMAN
2007
IEEE
15 years 6 months ago
2007
IEEE
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
93
Voted
ESANN
2008
15 years 1 months ago
2008
Abstract. Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, ...