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ICASSP
2010
IEEE
15 years 2 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
136
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NAACL
2010
15 years 1 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
177
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PAMI
2012
13 years 6 months ago
Nonlinear Shape Registration without Correspondences
—In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration method...
Csaba Domokos, Jozsef Nemeth, Zoltan Kato
127
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CEC
2010
IEEE
15 years 1 months ago
Beating the 'world champion' evolutionary algorithm via REVAC tuning
Abstract-- We present a case study demonstrating that using the REVAC parameter tuning method we can greatly improve the `world champion' EA (the winner of the CEC2005 competi...
Selmar K. Smit, A. E. Eiben
CVPR
2003
IEEE
16 years 5 months ago
Simultaneous Estimation of Left Ventricular Motion and Material Properties with Maximum a Posteriori Strategy
In addition to its technical merits as a challenging non-rigid motion and structural integrity analysis problem, quantitative estimation of cardiac regional functions and material...
Huafeng Liu, Pengcheng Shi