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» Inferring Genetic Networks from Microarray Data
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165
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NIPS
1998
15 years 4 months ago
Learning to Estimate Scenes from Images
We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
William T. Freeman, Egon C. Pasztor
129
Voted
BMCBI
2007
172views more  BMCBI 2007»
15 years 2 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
139
Voted
WWW
2008
ACM
16 years 3 months ago
Networked graphs: a declarative mechanism for SPARQL rules, SPARQL views and RDF data integration on the web
Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reu...
Simon Schenk, Steffen Staab
124
Voted
CVPR
2003
IEEE
16 years 4 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
116
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
Lewis Eric Hibell, Honghai Liu, David J. Brown