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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
ICDCS
2009
IEEE
14 years 6 months ago
Pushing the Envelope: Extreme Network Coding on the GPU
While it is well known that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high compu...
Hassan Shojania, Baochun Li
LAWEB
2009
IEEE
14 years 3 months ago
Promoting Creative Design through Toolkits
—Computer science academics and professionals typically consider their contributions in terms of the algorithms, applications, and techniques that they develop. Yet equally impor...
Saul Greenberg
VISUALIZATION
2005
IEEE
14 years 2 months ago
Interactive Visual Analysis and Exploration of Injection Systems Simulations
Simulations often generate large amounts of data that require use of SciVis techniques for effective exploration of simulation results. In some cases, like 1D theory of fluid dyn...
Kresimir Matkovic, Mario Jelovic, Josip Juric, Zol...
DAGSTUHL
2011
12 years 8 months ago
Feature Extraction for DW-MRI Visualization: The State of the Art and Beyond
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Thomas Schultz