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JSAC
2008
85views more  JSAC 2008»
13 years 8 months ago
A distributed minimum variance estimator for sensor networks
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is jointly tracked by a network of sensor nodes, in which each node computes its es...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...
IPMI
2011
Springer
12 years 12 months ago
Actin Filament Segmentation Using Dynamic Programming
Abstract. We introduce a novel algorithm for actin filament segmentation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes ...
Hongsheng Li, Tian Shen, Xiaolei Huang
CORR
2010
Springer
115views Education» more  CORR 2010»
13 years 6 months ago
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
Emmanuel J. Candès, Yaniv Plan
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 1 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
IJSNET
2007
97views more  IJSNET 2007»
13 years 8 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran