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COCO
2009
Springer
119views Algorithms» more  COCO 2009»
16 years 22 days ago
An Approximation Algorithm for Approximation Rank
One of the strongest techniques available for showing lower bounds on quantum communication complexity is the logarithm of the approximation rank of the communication matrix— th...
Troy Lee, Adi Shraibman
CVPR
2010
IEEE
16 years 2 months ago
On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape
This paper presents a sparse representation of 2D planar shape through the composition of warping functions, termed formlets, localized in scale and space. Each formlet subjects t...
Timothy Oleskiw, James Elder, Gabriel Peyr
QEST
2005
IEEE
15 years 11 months ago
An approximation algorithm for labelled Markov processes: towards realistic approximation
Abstract— Approximation techniques for labelled Markov processes on continuous state spaces were developed by Desharnais, Gupta, Jagadeesan and Panangaden. However, it has not be...
Alexandre Bouchard-Côté, Norm Ferns, ...
CISS
2008
IEEE
16 years 19 days ago
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel
Abstract—We consider adapting the transmission rate to maximize the goodput, i.e., the amount of data transmitted without error, over a continuous Markov flat-fading wireless ch...
Rohit Aggarwal, Phil Schniter, Can Emre Koksal
SIAMCOMP
1998
176views more  SIAMCOMP 1998»
15 years 5 months ago
An O(log k) Approximate Min-Cut Max-Flow Theorem and Approximation Algorithm
It is shown that the minimum cut ratio is within a factor of O(log k) of the maximum concurrent flow for k-commodity flow instances with arbitrary capacities and demands. This im...
Yonatan Aumann, Yuval Rabani