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» Computationally Efficient Transductive Machines
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LCPC
2000
Springer
14 years 18 days ago
Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
Hironori Kasahara, Motoki Obata, Kazuhisa Ishizaka
MT
2007
158views more  MT 2007»
13 years 8 months ago
Automatic extraction of translations from web-based bilingual materials
This paper describes the framework of the StatCan Daily Translation Extraction System (SDTES), a computer system that maps and compares webbased translation texts of Statistics Can...
Qibo Zhu, Diana Zaiu Inkpen, Ash Asudeh
CVPR
2009
IEEE
15 years 4 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu
ICPR
2004
IEEE
14 years 10 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou