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» Entropy-based Adaptive Sampling
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TSP
2008
161views more  TSP 2008»
13 years 7 months ago
Alias-Free Subband Adaptive Filtering With Critical Sampling
To overcome the limitations of a conventional fullband adaptive filtering, various subband adaptive filtering (SAF) structures have been proposed. Properly designed, an SAF will co...
Sang-Gyun Kim, Chang D. Yoo, T. Q. Nguyen
IEEECIT
2010
IEEE
13 years 6 months ago
Metadata-Based Adaptive Sampling for Energy-Efficient Collaborative Target Tracking in Wireless Sensor Networks
—The increasingly complex roles for which Wireless Sensor Networks (WSNs) are being employed have driven the desire for energy-efficient reliable target tracking. In this paper, ...
Yousef E. M. Hamouda, Chris Phillips
STOC
2006
ACM
122views Algorithms» more  STOC 2006»
14 years 7 months ago
Fast convergence to Wardrop equilibria by adaptive sampling methods
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
Simon Fischer, Harald Räcke, Berthold Vö...
FOCS
2007
IEEE
14 years 1 months ago
Adaptive Simulated Annealing: A Near-optimal Connection between Sampling and Counting
We present a near-optimal reduction from approximately counting the cardinality of a discrete set to approximately sampling elements of the set. An important application of our wo...
Daniel Stefankovic, Santosh Vempala, Eric Vigoda
ECCV
2008
Springer
14 years 9 months ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys