24 search results - page 2 / 5 » Gesture Classification Using Hidden Markov Models and Viterb... |
TSP
2008
13 years 4 months ago
2008
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
CORR
2010
Springer
13 years 2 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 ...
ICMCS
2000
IEEE
13 years 8 months ago
2000
IEEE
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
BMCBI
2010
13 years 5 months ago
2010
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
CVPR
1999
IEEE
14 years 7 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...