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» Efficient Discovery of Confounders in Large Data Sets
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VCBM
2010
13 years 3 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...
JMLR
2006
85views more  JMLR 2006»
13 years 9 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
CVPR
2007
IEEE
14 years 11 months ago
Regression tracking with data relevance determination
This paper 1 addresses the problem of efficient visual 2D template tracking in image sequences. We adopt a discriminative approach in which the observations at each frame yield di...
Ioannis Patras, Edwin R. Hancock
ASUNAM
2010
IEEE
13 years 10 months ago
Assessing Expertise Awareness in Resolution Networks
Problem resolution is a key issue in the IT service industry. A large service provider handles, on daily basis, thousands of tickets that report various types of problems from its...
Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis, Qih...
PAMI
2006
134views more  PAMI 2006»
13 years 9 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee