149 search results - page 24 / 30 » Maximum Likelihood Learning of Conditional MTE Distributions |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
—Motivated by questions in lossy data compression and by theoretical considerations, the problem of estimating the rate-distortion function of an unknown (not necessarily discret...
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ICRA
2009
IEEE
14 years 7 months ago
2009
IEEE
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
ICC
2008
IEEE
15 years 3 months ago
2008
IEEE
Abstract— Single-Symbol Maximum Likelihood (ML) decodable Distributed Orthogonal Space-Time Block Codes (DOSTBCs) have been introduced recently for cooperative networks and an up...
106
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NIPS
2000
14 years 10 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...