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» Neutrosophic Relational Data Model
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NIPS
2004
15 years 6 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
ANOR
2006
82views more  ANOR 2006»
15 years 4 months ago
The efficiency of joint decision making in buyer-supplier relationships
This paper examines the effectiveness of joint decision making within 87 pairs of buyer-supplier relationships in manufacturing. Joint decision making is an important attribute of ...
Markus Biehl, Wade D. Cook, David A. Johnston
ENVSOFT
2008
175views more  ENVSOFT 2008»
15 years 4 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
159
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BMVC
2002
15 years 7 months ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
ACSW
2007
15 years 6 months ago
A Grid Based e-Research Platform for Clinical Management in the Human Respiratory and Vascular System
A Grid based e-Research platform is being developed for providing a simulation-based virtual reality environment for clinical management and therapy treatment. The development of ...
Sherman Cheung, Xingchen Chu, Shengjin Xu, Rajkuma...