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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 16 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
87
Voted
CVPR
2007
IEEE
15 years 4 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
CVBIA
2005
Springer
15 years 3 months ago
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and populati...
W. Eric L. Grimson, Polina Golland
VISUALIZATION
2003
IEEE
15 years 3 months ago
Producing High Quality Visualizations of Large-Scale Simulations
This paper describes the work of a team of researchers in computer graphics, geometric computing, and civil engineering to produce a visualization of the September 2001 attack on ...
Voicu Popescu, Chris Hoffmann, Sami Kilic, Mete So...
112
Voted
DILS
2008
Springer
14 years 12 months ago
VisGenome and Ensembl: Usability of Integrated Genome Maps
It is not always clear how best to represent integrated data sets, and which application and database features allow a scientist to take best advantage of data coming from various ...
Joanna Jakubowska, Ela Hunt, John McClure, Matthew...