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» Compound Poisson Approximation via Information Functionals
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DSP
2006
14 years 9 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares
STOC
2002
ACM
121views Algorithms» more  STOC 2002»
15 years 10 months ago
Average case analysis for batched disk scheduling and increasing subsequences
We consider the problem of estimating the tour length and finding approximation algorithms for the asymmetric traveling salesman problem arising from the disk scheduling problem. ...
Eitan Bachmat
BMCBI
2008
84views more  BMCBI 2008»
14 years 10 months ago
Prediction of specificity-determining residues for small-molecule kinase inhibitors
Background: Designing small-molecule kinase inhibitors with desirable selectivity profiles is a major challenge in drug discovery. A high-throughput screen for inhibitors of a giv...
Daniel R. Caffrey, Elizabeth A. Lunney, Deborah J....
DIS
1998
Springer
15 years 2 months ago
Automatic Transaction of Signal via Statistical Modeling
The statistical information processing can be characterized by the likelihood function de ned by giving an explicit form for an approximation to the true distribution. This mathema...
Genshiro Kitagawa, Tomoyuki Higuchi
CVPR
2008
IEEE
15 years 11 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...