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JMLR
2012
13 years 9 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
NIPS
2000
15 years 8 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
CVPR
2005
IEEE
16 years 8 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
ICPR
2008
IEEE
16 years 7 months ago
A new HMM training and testing scheme
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break&quo...
Albert Hung-Ren Ko, Alceu de Souza Britto Jr., Rob...
CSFW
2005
IEEE
16 years 9 days ago
Belief in Information Flow
To reason about information flow based on beliefs, a new model is developed that describes how attacker beliefs change due to the attacker’s observation of the execution of a p...
Michael R. Clarkson, Andrew C. Myers, Fred B. Schn...