1397 search results - page 37 / 280 » Dynamic power management using machine learning |
78
Voted
ICMLA
2009
14 years 7 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
SIGOPS
2008
14 years 8 months ago
2008
Power management strategies for embedded systems typically rely on static, application driven deactivation of components (e.g. sleep, suspend), or on dynamic voltage and frequency...
132
Voted
BLISS
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
LCPC
2001
Springer
15 years 2 months ago
2001
Springer
This paper discusses the potential benefits of applicationspecific power management through remote task execution. Power management is crucial for mobile devices that have to re...