276 search results - page 25 / 56 » PAC-Learning of Markov Models with Hidden State |
NIPS
2008
13 years 10 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
UAI
2004
13 years 9 months ago
2004
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...