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» Accurately measuring collective operations at massive scale
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AAAI
2011
13 years 9 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
IJSNET
2007
97views more  IJSNET 2007»
14 years 9 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
CONEXT
2009
ACM
14 years 10 months ago
Macroscope: end-point approach to networked application dependency discovery
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to ma...
Lucian Popa 0002, Byung-Gon Chun, Ion Stoica, Jaid...
ATAL
2005
Springer
15 years 3 months ago
Task inference and distributed task management in the Centibots robotic system
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
Charlie Ortiz, Régis Vincent, Benoit Moriss...
VLSID
2004
IEEE
120views VLSI» more  VLSID 2004»
15 years 10 months ago
Dynamic Power Optimization of Interactive Systems
Abstract-- Power has become a major concern for mobile computing systems such as laptops and handhelds, on which a significant fraction of software usage is interactive instead of ...
Lin Zhong, Niraj K. Jha