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» Generalized implicit functions for computer graphics
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 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
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
14 years 7 months ago
FPGA: what's in it for a database?
While there seems to be a general agreement that next years' systems will include many processing cores, it is often overlooked that these systems will also include an increa...
Jens Teubner, René Müller
VRST
2004
ACM
14 years 24 days ago
A CAVE system for interactive modeling of global illumination in car interior
Global illumination dramatically improves realistic appearance of rendered scenes, but usually it is neglected in VR systems due to its high costs. In this work we present an effi...
Kirill Dmitriev, Thomas Annen, Grzegorz Krawczyk, ...
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
11 years 9 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
SIGCOMM
2009
ACM
14 years 1 months ago
Game action based power management for multiplayer online game
Current mobile devices embrace a wide range of functionalities including high speed network support, hardware accelerated 3D graphics, and multimedia capabilities. These capabilit...
Bhojan Anand, Akkihebbal L. Ananda, Mun Choon Chan...