765 search results - page 80 / 153 » Learning from Multiple Annotators with Gaussian Processes |
156
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
141
Voted
PAMI
2006
15 years 3 months ago
2006
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
143
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
202
Voted
PRIB
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
175
Voted
CVPR
2008
IEEE
15 years 9 months ago
2008
IEEE
While there is a large class
of Multiple-Target Tracking (MTT) problems for which batch
processing is possible and desirable, batch MTT remains relatively
unexplored in comparis...