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UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
NIPS
1990
15 years 7 months ago
Learning to See Rotation and Dilation with a Hebb Rule
Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
Martin I. Sereno, Margaret E. Sereno
NIPS
1992
15 years 7 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
VVEIS
2007
15 years 7 months ago
UML-driven Information Systems and their Formal Integration Validation and Distribution
Being the de-facto standard (object-oriented-OO) method(-logy) for software-intensive systems development, UML with its different diagrams and supporting tools represent nowadays t...
Nasreddine Aoumeur, Gunter Saake
WCE
2007
15 years 7 months ago
Acoustic-Structural Coupling of the Automobile Passenger Compartment
— Renewed interest in reducing interior noise in transportation vehicles has motivated research in low frequency, structural-acoustic analysis. The internal sound field in the en...
Mariana R. Kruntcheva
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