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» GraphLab: A New Framework for Parallel Machine Learning
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HPCA
2008
IEEE
14 years 7 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
RIVF
2007
13 years 9 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
ESCIENCE
2007
IEEE
13 years 11 months ago
SOAs for Scientific Applications: Experiences and Challenges
Over the past several years, with the advent of the Open Grid Services Architecture (OGSA) [10] and the Web Services Resource Framework (WSRF) [14], Service-Oriented Architectures...
Sriram Krishnan, Karan Bhatia
EUROPAR
1998
Springer
13 years 11 months ago
Enhancing Spatial Locality via Data Layout Optimizations
This paper aims to improve locality of references by suitably choosing array layouts. We use a new definition of spatial reuse vectors that takes into account memory layout of arra...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
MICCAI
2005
Springer
14 years 8 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...