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» Statistical Models for Automatic Performance Tuning
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ECBS
2009
IEEE
120views Hardware» more  ECBS 2009»
14 years 2 months ago
Tuning Complex Sensornet Systems Using Principled Engineering Methods
Sensornet lifespan and utility is limited by the energy resources of individual motes. Network designers seek to maximise energy efficiency while maintaining acceptable Quality o...
Jonathan Tate, Iain Bate
ICANN
2007
Springer
14 years 1 months ago
Some Properties of the Gaussian Kernel for One Class Learning
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
ICTAI
1992
IEEE
13 years 11 months ago
Automated Parameter Tuning in Stereo Vision Under Time Constraints
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...
Steven R. Schwartz, Benjamin W. Wah
ISBI
2006
IEEE
14 years 8 months ago
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model
This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation o...
Albert Huang, Rafeef Abugharbieh, Roger Tam, Antho...
IEEEPACT
2008
IEEE
14 years 1 months ago
A tuning framework for software-managed memory hierarchies
Achieving good performance on a modern machine with a multi-level memory hierarchy, and in particular on a machine with software-managed memories, requires precise tuning of progr...
Manman Ren, Ji Young Park, Mike Houston, Alex Aike...