2103 search results - page 121 / 421 » Approximate Learning of Dynamic Models |
137
click to vote
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
170
click to vote
CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
137
Voted
INTERSPEECH
2010
14 years 11 months ago
2010
Statistical methods for voice conversion are usually based on a single model selected in order to represent a tradeoff between goodness of fit and complexity. In this paper we ass...
162
click to vote
IDA
1999
Springer
15 years 9 months ago
1999
Springer
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
146
click to vote
IDEAL
2004
Springer
15 years 10 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...