420 search results - page 49 / 84 » Graphical inference for infovis |
115
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
75
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
118
Voted
ECSQARU
2009
Springer
15 years 7 months ago
2009
Springer
A BN2O network is a Bayesian network having the structure of a bipartite graph with all edges directed from one part (the top level) toward the other (the bottom level) and where a...
116
Voted
IROS
2008
IEEE
15 years 7 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
110
Voted
ACCV
2006
Springer
15 years 6 months ago
2006
Springer
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...