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» Dynamic power management using machine learning
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IPPS
2007
IEEE
15 years 6 months ago
Scale-up x Scale-out: A Case Study using Nutch/Lucene
Scale-up solutions in the form of large SMPs have represented the mainstream of commercial computing for the past several years. The major server vendors continue to provide incre...
Maged M. Michael, José E. Moreira, Doron Sh...
ICALT
2005
IEEE
15 years 5 months ago
Integrating Wireless Technology in Pocket Electronic Dictionary to Enhance Language Learning
We believe that with regard to the information technology applications in education, one student one computing device will be the future and long-term trend. Many related studies ...
Jen-Kai Liang, Tzu-Chien Liu, Hsue-Yie Wang, Tak-W...
ALS
2003
Springer
15 years 5 months ago
Towards a Four Factor Theory of Anticipatory Learning
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Mark Witkowski
NIPS
2004
15 years 1 months ago
The power of feature clustering: An application to object detection
We give a fast rejection scheme that is based on image segments and demonstrate it on the canonical example of face detection. However, instead of focusing on the detection step w...
Shai Avidan, Moshe Butman
SENSYS
2006
ACM
15 years 5 months ago
Run-time dynamic linking for reprogramming wireless sensor networks
From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energ...
Adam Dunkels, Niclas Finne, Joakim Eriksson, Thiem...