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» A Bayesian Approach to Tackling Hard Computational Problems
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EMMCVPR
1999
Springer
13 years 11 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
CVPR
2007
IEEE
14 years 9 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
DAC
2004
ACM
14 years 8 months ago
Profile-based optimal intra-task voltage scheduling for hard real-time applications
This paper presents a set of comprehensive techniques for the intratask voltage scheduling problem to reduce energy consumption in hard real-time tasks of embedded systems. Based ...
Jaewon Seo, Taewhan Kim, Ki-Seok Chung
SAFECOMP
2000
Springer
13 years 11 months ago
Assessment of the Reliability of Fault-Tolerant Software: A Bayesian Approach
Fault tolerant systems based on the use of software design diversity may be able to achieve high levels of reliability more cost-effectively than other approaches, such as heroic ...
Bev Littlewood, Peter T. Popov, Lorenzo Strigini