20833 search results - page 11 / 4167 » Hidden process models |
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...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
ICIP
2005
IEEE
14 years 1 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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...