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» Dynamic power management using machine learning
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ICML
2004
IEEE
16 years 4 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
137
Voted
MASCOTS
2003
15 years 4 months ago
Using User Interface Event Information in Dynamic Voltage Scaling Algorithms
Increasingly, mobile computers use dynamic voltage scaling (DVS) to reduce CPU voltage and speed and thereby increase battery life. To determine how to change voltage and speed wh...
Jacob R. Lorch, Alan Jay Smith
146
Voted
SIGCSE
2008
ACM
153views Education» more  SIGCSE 2008»
15 years 1 months ago
A cross-domain visual learning engine for interactive generation of instructional materials
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
K. R. Subramanian, T. Cassen
113
Voted
ICNS
2006
IEEE
15 years 9 months ago
Proposal for compilation techniques of monitoring tasks to improve applications management performance
The emergence of middleware solutions and new services, even on small devices, will need adapted distributed management solutions which address these specificities, both in terms ...
Bernard Kaddour, Joël Quinqueton
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
16 years 9 days ago
SPM management using Markov chain based data access prediction
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
Taylan Yemliha, Shekhar Srikantaiah, Mahmut T. Kan...