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» Sequential Change Detection on Data Streams
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AINA
2010
IEEE
14 years 23 days ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
JCST
2010
153views more  JCST 2010»
13 years 2 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
MICRO
2010
IEEE
119views Hardware» more  MICRO 2010»
13 years 2 months ago
Task Superscalar: An Out-of-Order Task Pipeline
We present Task Superscalar, an abstraction of instruction-level out-of-order pipeline that operates at the tasklevel. Like ILP pipelines, which uncover parallelism in a sequential...
Yoav Etsion, Felipe Cabarcas, Alejandro Rico, Alex...
IMC
2005
ACM
14 years 1 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
TSP
2008
92views more  TSP 2008»
13 years 7 months ago
Quickest Detection and Tracking of Spawning Targets Using Monopulse Radar Channel Signals
Recent advances have been reported in detecting and estimating the location of more than one target within a single monopulse radar beam. Successful tracking of those targets has ...
Atef Isaac, Peter Willett, Yaakov Bar-Shalom