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NN
2010
Springer
225views Neural Networks» more  NN 2010»
14 years 10 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
VISAPP
2010
14 years 9 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
CORR
2010
Springer
119views Education» more  CORR 2010»
14 years 9 months ago
On Probabilistic Parallel Programs with Process Creation and Synchronisation
We initiate the study of probabilistic parallel programs with dynamic process creation and synchronisation. To this end, we introduce probabilistic split-join systems (pSJSs), a mo...
Stefan Kiefer, Dominik Wojtczak
ICDAR
2003
IEEE
15 years 5 months ago
A Model-based Line Detection Algorithm in Documents
In this paper we present a novel model based approach to detect severely broken parallel lines in noisy textual documents. It is important to detect and remove these lines so the ...
Yefeng Zheng, Huiping Li, David S. Doermann
WSC
2004
15 years 1 months ago
Simulation Experiment for Improving Construction Processes
From the perspective of flow analysis, the more complex the project, the more wastes are prone to build up, due to the increasing number of interfaces between activities. When pro...
Shihyi Wang, Daniel W. Halpin