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ADHOC
2010
292views more  ADHOC 2010»
13 years 8 months ago
Sleep/wake scheduling for multi-hop sensor networks: Non-convexity and approximation algorithm
We investigate the problem of sleep/wake scheduling for low duty cycle sensor networks. Our work differs from prior work in that we explicitly consider the effect of synchronizati...
Yan Wu, Sonia Fahmy, Ness B. Shroff
FOCS
2008
IEEE
14 years 2 months ago
Constant-Time Approximation Algorithms via Local Improvements
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...
Huy N. Nguyen, Krzysztof Onak
IPL
2000
146views more  IPL 2000»
13 years 8 months ago
Better approximations for max TSP
We combine two known polynomial time approximation algorithms for the maximum traveling salesman problem to obtain a randomized algorithm which outputs a solution with expected va...
Refael Hassin, Shlomi Rubinstein
ATAL
2010
Springer
13 years 9 months ago
Quasi deterministic POMDPs and DecPOMDPs
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
Camille Besse, Brahim Chaib-draa
STOC
2012
ACM
192views Algorithms» more  STOC 2012»
11 years 10 months ago
Nearly optimal sparse fourier transform
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric ...