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CVPR
1997
IEEE
15 years 1 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
89
Voted
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 1 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
IAT
2010
IEEE
14 years 7 months ago
Continuous Double Auction in Grid Computing: An Agent Based Approach to Maximize Profit for Providers
Economic models are found efficient in managing heterogeneous computer resources such as storage, CPU and memory for grid computing. Commodity market, double auction and contract-n...
S. M. Aminul Haque, Saadat M. Alhashmi, Rajendran ...
ETVC
2008
14 years 11 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
ECIR
2006
Springer
14 years 11 months ago
An Efficient Computation of the Multiple-Bernoulli Language Model
Abstract. The Multiple Bernoulli (MB) Language Model has been generally considered too computationally expensive for practical purposes and superseded by the more efficient multino...
Leif Azzopardi, David E. Losada