610 search results - page 65 / 122 » Markov Random Topic Fields |
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Book
This is a great draft book about stochastic calculus and finance. It covers large number of topics such as Introduction to Probability Theory, Conditional Expectation, Arbitrage Pr...
ICIP
2000
IEEE
2000
IEEE
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
14 years 9 months ago
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
ESTIMEDIA
2008
Springer
13 years 9 months ago
2008
Springer
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...