276 search results - page 29 / 56 » PAC-Learning of Markov Models with Hidden State |
TASLP
2002
13 years 8 months ago
2002
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
BMCBI
2005
13 years 8 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
AVSS
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
HPCS
2005
IEEE
14 years 2 months ago
2005
IEEE
— With the principal goal of developing an alternative, relatively simple and tractable pricing framework for accurately reproducing a market implied volatility surface, this pap...