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» Learning Functions from Imperfect Positive Data
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COMPSYSTECH
2007
14 years 23 days ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...
ISBI
2011
IEEE
13 years 15 days ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
CRYPTO
2009
Springer
122views Cryptology» more  CRYPTO 2009»
14 years 3 months ago
Utility Dependence in Correct and Fair Rational Secret Sharing
The problem of carrying out cryptographic computations when the participating parties are rational in a game-theoretic sense has recently gained much attention. One problem that h...
Gilad Asharov, Yehuda Lindell
JCB
2008
159views more  JCB 2008»
13 years 8 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
CVIU
2008
126views more  CVIU 2008»
13 years 9 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong