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» Additive functions for number systems in function fields
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UAI
2004
15 years 8 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
CIMAGING
2009
184views Hardware» more  CIMAGING 2009»
15 years 7 months ago
Fast space-varying convolution and its application in stray light reduction
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan ...
CCE
2006
15 years 6 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
CORR
2006
Springer
132views Education» more  CORR 2006»
15 years 6 months ago
Navigating multilingual news collections using automatically extracted information
We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
STTT
2008
162views more  STTT 2008»
15 years 6 months ago
Coping with large design spaces: design problem solving in fluidic engineering
Abstract This paper is about tool support for knowledgeintensive engineering tasks. In particular, it introduces software technology to assist the design of complex technical syste...
Benno Stein