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» Optimization of Convex Risk Functions
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CVPR
2010
IEEE
14 years 6 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu
JCIT
2008
144views more  JCIT 2008»
13 years 10 months ago
Design Methodology of a Controller to Forecast the Uncertain Cardiac Arrest Using Fuzzy Logic Approach
The main objective of design methodology of a controller for forecasting cardiac arrest using fuzzy logic approach is to provide the prediction of period of life time for the pati...
Nalayini Natarajan, Wahida Banu
INFOCOM
2007
IEEE
14 years 4 months ago
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks
— A systematic approach to solve seemingly nonconvex resource allocation problems in wireless cellular networks is studied in this paper. By revealing and exploiting the hidden c...
Chee-Wei Tan, Daniel Pérez Palomar, Mung Ch...
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 2 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
NIPS
2007
13 years 11 months ago
Hierarchical Penalization
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
Marie Szafranski, Yves Grandvalet, Pierre Morizet-...