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» GraphLab: A New Framework for Parallel Machine Learning
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HPCA
2008
IEEE
16 years 1 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
15 years 2 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....
136
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ESCIENCE
2007
IEEE
15 years 5 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
15 years 5 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
16 years 2 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...