1443 search results - page 117 / 289 » Learning Generative Models via Discriminative Approaches |
83
Voted
NIPS
1998
15 years 1 months ago
1998
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
116
Voted
ECAI
2008
Springer
15 years 2 months ago
2008
Springer
Monitoring patients in intensive care units is a critical task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the...
122
Voted
CVIU
2006
15 years 19 days ago
2006
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
ICSE
2009
IEEE-ACM
15 years 7 months ago
2009
IEEE-ACM
It is labor-intensive to manually verify the outputs of a large set of tests that are not equipped with test oracles. Test selection helps to reduce this cost by selecting a small...