71 search results - page 1 / 15 » Learning low dimensional predictive representations |
75
Voted
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
91
Voted
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
AMDO
2006
Springer
15 years 1 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...
79
Voted
CAIP
1999
Springer
1999
Springer
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
15 years 1 months ago
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...