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ICML
2008
IEEE
14 years 11 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
DCC
2010
IEEE
14 years 5 months ago
An MCMC Approach to Lossy Compression of Continuous Sources
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
Dror Baron, Tsachy Weissman
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
14 years 5 months ago
On the approximate domain optimization of deterministic and expected value criteria
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
Andrea Lecchini-Visintini, John Lygeros, Jan M. Ma...
ICPR
2008
IEEE
14 years 5 months ago
Monocular 3D tracking of multiple interacting targets
In this paper, we present a new approach based on Markov Chain Monte Carlo(MCMC) for the stable monocular tracking of variable interacting targets in 3D space. The crucial problem...
Tatsuya Osawa, Kyoko Sudo, Hiroyuki Arai, Hideki K...
DSN
2007
IEEE
14 years 5 months ago
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...