65 search results - page 9 / 13 » Learning a Bi-Stochastic Data Similarity Matrix |
AMDO
2006
Springer
13 years 11 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...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
The recent years have witnessed a surge of interest in graphbased semi-supervised learning methods. The common denominator of these methods is that the data are represented by the...
BMCBI
2008
13 years 7 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...