455 search results - page 34 / 91 » Adaptive Sampling for Noisy Problems |
PRL
2002
13 years 7 months ago
2002
This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Rather than training a new model for each writer, one first ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
WSC
2008
13 years 10 months ago
2008
We consider the ranking and selection of normal means in a fully sequential Bayesian context. By considering the sampling and stopping problems jointly rather than separately, we ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...