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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
NLPRS
2001
Springer
14 years 1 months ago
The Grammatical Function Analysis between Adnoun Clause and Noun Phrase in Korean
This research focuses on analysis of the grammatical functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between two constitu...
Songwook Lee, Tae-Yeoub Jang, Jungyun Seo
ESANN
2008
13 years 10 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
CVPR
1999
IEEE
14 years 10 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
ICCV
2001
IEEE
14 years 10 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick