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CVPR
2010
IEEE
14 years 3 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
ICASSP
2008
IEEE
14 years 1 months ago
Iterative R-D optimization of H.264
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. T...
Cheolhong An, Truong Q. Nguyen
ICTAI
2007
IEEE
14 years 1 months ago
Hypergraph Partitioning for Exploiting Localities in Nonlinear Constrained Optimization
In this paper, we present a new hypergraph partitioning algorithm that jointly optimizes the number of hyperedge cuts and the number of shared vertices in nonlinear constrained op...
Benjamin W. Wah, Soomin Lee
TSP
2011
106views more  TSP 2011»
13 years 2 months ago
Distributed Estimation and Coding: A Sequential Framework Based on a Side-Informed Decomposition
Abstract—We propose a sequential framework for the distributed multiple-sensor estimation and coding problem that decomposes the problem into a series of side-informed source cod...
Chao Yu, Gaurav Sharma
IOR
2011
152views more  IOR 2011»
13 years 2 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski