135 search results - page 4 / 27 » Hilbert Space Embeddings of Hidden Markov Models |
IICAI
2007
13 years 8 months ago
2007
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
AIIA
2007
Springer
14 years 1 months ago
2007
Springer
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...