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CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 2 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
CVPR
2009
IEEE
1962views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Histograms of Oriented Optical Flow and Binet-Cauchy Kernels on Nonlinear Dynamical Systems for the Recognition of Human Actions
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
Rizwan Chaudhry, Avinash Ravichandran, Gregory D. ...
IPMI
2005
Springer
16 years 8 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
SIGMETRICS
1999
ACM
120views Hardware» more  SIGMETRICS 1999»
15 years 11 months ago
A Performance Study of Dynamic Replication Techniques in Continuous Media Servers
Multimedia applications are emerging in education, information dissemination, entertainment, as well as many other applications. The stringent requirements of such applications ma...
Cheng-Fu Chou, Leana Golubchik, John C. S. Lui
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 7 months ago
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Bargaining networks model the behavior of a set of players who need to reach pairwise agreements for making profits. Nash bargaining solutions in this context correspond to soluti...
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs,...