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» Analysis of Random Noise and Random Walk Algorithms
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SIGMETRICS
2010
ACM
214views Hardware» more  SIGMETRICS 2010»
14 years 1 months ago
Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm
This paper addresses the problem of determining the node locations in ad-hoc sensor networks when only connectivity information is available. In previous work, we showed that the ...
Amin Karbasi, Sewoong Oh
BMCBI
2006
101views more  BMCBI 2006»
13 years 8 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
ICDAR
1997
IEEE
14 years 16 days ago
UW-ISL Document Image Analysis Toolbox: An Experimental Environment
A document image analysis toolbox, including a collection of data structures and algorithms to suppbrt a variety of applications, is described in this paper. An experimental envir...
Jisheng Liang, Richard Rogers, Robert M. Haralick,...
MICCAI
2000
Springer
13 years 12 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 6 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel