276 search results - page 40 / 56 » PAC-Learning of Markov Models with Hidden State |
TASLP
2008
13 years 6 months ago
2008
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
ICRA
2006
IEEE
14 years 23 days ago
2006
IEEE
— This paper presents a new mathematical model for the human behavior called Stochastic Switched Linear Dynamical (SS-LD) model. The SS-LD model can be regarded as a natural exte...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
CVPR
2005
IEEE
14 years 11 days ago
2005
IEEE
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...