1243 search results - page 26 / 249 » Reduced-Rank Hidden Markov Models |
ICIAR
2009
Springer
14 years 2 months ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICIP
2007
IEEE
13 years 10 months ago
2007
IEEE
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
ICIP
2005
IEEE
14 years 3 months ago
2005
IEEE
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
IROS
2006
IEEE
14 years 3 months ago
2006
IEEE
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...