142 search results - page 13 / 29 » Factorial Hidden Markov Models and the Generalized Backfitti... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
DSP
2008
13 years 7 months ago
2008
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
ICCV
2009
IEEE
15 years 19 days ago
2009
IEEE
Atmospheric conditions induced by suspended particles,
such as fog and haze, severely degrade image quality.
Restoring the true scene colors (clear day image) from a
single imag...
UAI
2004
13 years 9 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...