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» The complexity of estimating min-entropy
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96
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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 7 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
ICASSP
2011
IEEE
14 years 4 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
97
Voted
ICIP
2005
IEEE
16 years 2 months ago
Scene analysis for reducing motion JPEG 2000 video surveillance delivery bandwidth and complexity
In this paper, we propose a new object-based video coding/transmission system using the emerging Motion JPEG 2000 standard [1] for the efficient storage and delivery of video surve...
Christophe Parisot, Jérôme Meessen, J...
126
Voted
SIGMOD
2002
ACM
198views Database» more  SIGMOD 2002»
16 years 22 days ago
Processing complex aggregate queries over data streams
Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) with only...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
107
Voted
INFOCOM
2005
IEEE
15 years 6 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik