540 search results - page 22 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
156
click to vote
NIPS
2001
15 years 4 months 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...
157
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
156
Voted
AMDO
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
123
Voted
ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
153
Voted
WIRN
2005
Springer
15 years 9 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...