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» Bayesian Shot Detection Using Structural Weighting
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UAI
1996
13 years 10 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
EACL
2006
ACL Anthology
13 years 10 months ago
Multilingual Term Extraction from Domain-specific Corpora Using Morphological Structure
Morphologically complex terms composed from Greek or Latin elements are frequent in scientific and technical texts. Word forming units are thus relevant cues for the identificatio...
Delphine Bernhard
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
NIPS
2000
13 years 10 months ago
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
James M. Coughlan, Alan L. Yuille
IUI
2004
ACM
14 years 2 months ago
Evaluation of visual balance for automated layout
Layout refers to the process of determining the size and position of the visual objects in an information presentation. We introduce the WeightMap, a bitmap representation of the ...
Simon Lok, Steven Feiner, Gary Ngai