142 search results - page 4 / 29 » Factorial Hidden Markov Models and the Generalized Backfitti... |
NIPS
2001
13 years 9 months ago
2001
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we propose a general two-dimensional hidden Markov model (2D-HMM), where dependency of the state transition probability on any state is allowed as long as causality...
JMLR
2010
13 years 2 months ago
2010
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
MICAI
2007
Springer
14 years 1 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
Dynamic face pose change and noise make it difficult to track multi-view faces in a cluttering environment. In this paper, we propose a graphical model based method, which combin...