24 search results - page 5 / 5 » Spectral methods for semi-supervised manifold learning |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Spectral methods for embedding graphs and immersing data manifolds in low-dimensional speaces are notoriously unstable due to insufficient and/or numberically ill-conditioned con...
ML
2010
ACM
12 years 11 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
NIPS
2007
13 years 6 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...