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» Nonparametric Background Generation
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ACL
2007
13 years 9 months ago
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model
We present an unsupervised, nonparametric Bayesian approach to coreference resolution which models both global entity identity across a corpus as well as the sequential anaphoric ...
Aria Haghighi, Dan Klein
ISBI
2008
IEEE
14 years 8 months ago
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures
This paper presents a new method for multiple structure segmentation, using a maximum a posteriori (MAP) estimation framework, based on prior shape densities involving nonparametr...
Aytül Erçil, Gozde B. Unal, Müjda...
ISCI
2007
105views more  ISCI 2007»
13 years 7 months ago
Cost modeling of spatial operators using non-parametric regression
In an object-relational database management system, a query optimizer requires users to provide cost models of userdefined functions. The traditional approach is analytical, that...
Songtao Jiang, Byung Suk Lee, Zhen He
BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
CRV
2008
IEEE
116views Robotics» more  CRV 2008»
14 years 2 months ago
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image
We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate back...
Michael Guerzhoy, Hui Zhou