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APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
14 years 1 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
IPCO
1993
138views Optimization» more  IPCO 1993»
13 years 9 months ago
An efficient approximation algorithm for the survivable network design problem
The survivable network design problem (SNDP) is to construct a minimum-cost subgraph satisfying certain given edge-connectivity requirements. The first polynomial-time approximati...
Harold N. Gabow, Michel X. Goemans, David P. Willi...
AAIM
2005
Springer
81views Algorithms» more  AAIM 2005»
13 years 9 months ago
Wavelength Assignment for Satisfying Maximal Number of Requests in All-Optical Networks
In this paper, we study how to, given a set of pre-routed requests in an all-optical network and a set of wavelengths available on each link, assign a subset of requests with maxim...
Xiao-Dong Hu, Tianping Shuai
FOCS
2008
IEEE
13 years 8 months ago
Approximation Algorithms for Single-minded Envy-free Profit-maximization Problems with Limited Supply
We present the first polynomial-time approximation algorithms for single-minded envy-free profit-maximization problems [13] with limited supply. Our algorithms return a pricing sc...
Maurice Cheung, Chaitanya Swamy
CVPR
2008
IEEE
14 years 9 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...