240 search results - page 8 / 48 » Laplacian Spectrum Learning |
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
NIPS
2007
13 years 9 months ago
2007
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...