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» The anatomy of big data computing
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CVPR
2011
IEEE
14 years 4 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
MICCAI
1998
Springer
15 years 1 months ago
Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data
This paper describes a method for creating object surfaces from binary-segmented data that are free from aliasing and terracing artifacts. In this method, a net of linked surface n...
Sarah F. Frisken Gibson
ICCV
2007
IEEE
15 years 11 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
HPDC
2010
IEEE
14 years 9 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...
VLDB
2001
ACM
109views Database» more  VLDB 2001»
15 years 2 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...