319 search results - page 45 / 64 » Learning Nonlinear Manifolds from Time Series |
80
Voted
IJCV
2010
14 years 8 months ago
2010
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
70
Voted
NIPS
2007
14 years 11 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
108
click to vote
TVCG
2010
14 years 8 months ago
2010
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
107
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PERVASIVE
2011
Springer
14 years 14 days ago
2011
Springer
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...