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» Scalable, updatable predictive models for sequence data
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111
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CVPR
2010
IEEE
15 years 9 months ago
Scalable Active Matching
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locati...
Ankur Handa, Margarita Chli, Hauke Strasdat, Andre...
BMCBI
2008
123views more  BMCBI 2008»
15 years 17 days ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
87
Voted
NIPS
2008
15 years 1 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
139
Voted
TITB
2010
123views Education» more  TITB 2010»
14 years 7 months ago
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data
Progressive loss of the field of vision is characteristic of a number of eye diseases such as glaucoma, a leading cause of irreversible blindness in the world. Recently, there has ...
Allan Tucker, David Garway-Heath
SIGMETRICS
2003
ACM
115views Hardware» more  SIGMETRICS 2003»
15 years 5 months ago
Dynamic resource allocation for shared data centers using online measurements
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applicat...
Abhishek Chandra, Weibo Gong, Prashant J. Shenoy