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CVPR
2008
IEEE
15 years 12 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
14 years 10 months ago
Lexicographic perturbation for multiparametric linear programming with applications to control
Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs with a parameter in the cost, or equivalently the right-...
Colin Neil Jones, Eric C. Kerrigan, Jan M. Maciejo...
BMCBI
2006
131views more  BMCBI 2006»
14 years 10 months ago
Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...
David M. Blei, K. Franks, Michael I. Jordan, I. Sa...
MIAR
2010
IEEE
14 years 8 months ago
Computational Decision Support for Percutaneous Aortic Valve Implantation
Valve replacement is the most common therapy for diseased aortic valves. Percutaneous approaches are becoming increasingly popular, due to reduced procedural complications and lowe...
Ingmar Voigt, Razvan Ioan Ionasec, Bogdan Georgesc...
IMCSIT
2010
14 years 7 months ago
Efficient Portfolio Optimization with Conditional Value at Risk
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Wlodzimierz Ogryczak, Tomasz Sliwinski