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» Computing LTS Regression for Large Data Sets
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ICDM
2010
IEEE
105views Data Mining» more  ICDM 2010»
13 years 7 months ago
On the Vulnerability of Large Graphs
Given a large graph, like a computer network, which k nodes should we immunize (or monitor, or remove), to make it as robust as possible against a computer virus attack? We need (...
Hanghang Tong, B. Aditya Prakash, Charalampos E. T...
CPHYSICS
2007
81views more  CPHYSICS 2007»
13 years 9 months ago
The ATLAS computing model: status, plans and future possibilities
The ATLAS Collaboration[1] has been preparing for Large Hadron Collider (LHC) running for more than 20 years. By summer of 2007 we expect the first colliding beams of protons and...
Shawn McKee
CGA
2010
13 years 6 months ago
Newdle: Interactive Visual Exploration of Large Online News Collections
In this paper, we present a novel visual analytics system named Newdle with a focus on exploring large online news collections when the semantics of the individual news articles ha...
Jing Yang, Dongning Luo, Yujie Liu
VRCAI
2006
ACM
14 years 3 months ago
A foveal inset for large display environments
We introduce a system that adds a foveal inset to large-scale projection displays. The effective resolution of the foveal inset projection is higher than the original display reso...
Oliver G. Staadt, Benjamin A. Ahlborn, Oliver Krey...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 7 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...