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EENERGY
2010
15 years 10 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
TCS
2008
15 years 6 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
MFCS
1995
Springer
15 years 10 months ago
Measure on P: Robustness of the Notion
In AS , we de ned a notion of measure on the complexity class P in the spirit of the work of Lutz L92 that provides a notion of measure on complexity classes at least as large as...
Eric Allender, Martin Strauss
IWCM
2004
Springer
16 years 10 hour ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
ICIP
2002
IEEE
16 years 8 months ago
Visualization of high dynamic range images
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many or...
Alvaro Pardo, Guillermo Sapiro