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» Optimization of in-network data reduction
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EMMCVPR
2001
Springer
14 years 2 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
CORR
2008
Springer
175views Education» more  CORR 2008»
13 years 10 months ago
Energy Aware Self-Organizing Density Management in Wireless Sensor Networks
Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy...
Erwan Le Merrer, Vincent Gramoli, Anne-Marie Kerma...
JACM
2006
98views more  JACM 2006»
13 years 9 months ago
Distribution sort with randomized cycling
Parallel independent disks can enhance the performance of external memory (EM) algorithms, but the programming task is often di cult. In this paper we develop randomized variants ...
Jeffrey Scott Vitter, David A. Hutchinson
INFOCOM
2010
IEEE
13 years 7 months ago
Distributed Dynamic Speed Scaling
In recent years we have witnessed a great interest in large distributed computing platforms, also known as clouds. While these systems offer enormous computing power, they are howe...
Rade Stanojevic, Robert Shorten
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
14 years 4 months ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao