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» Rate-Distortion via Markov Chain Monte Carlo
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ECCV
2002
Springer
16 years 1 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
101
Voted
IPMI
2009
Springer
16 years 15 days ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
WWW
2008
ACM
16 years 10 days ago
Analyzing search engine advertising: firm behavior and cross-selling in electronic markets
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines. Firms across different industries have are beginning to adop...
Anindya Ghose, Sha Yang
GLOBECOM
2008
IEEE
15 years 6 months ago
Low-Complexity Hybrid QRD-MCMC MIMO Detection
In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm i...
Ronghui Peng, Koon Hoo Teo, Jinyun Zhang, Rong-Ron...
85
Voted
AAAI
2006
15 years 1 months ago
Model Counting: A New Strategy for Obtaining Good Bounds
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...
Carla P. Gomes, Ashish Sabharwal, Bart Selman