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TVCG
2010
165views more  TVCG 2010»
13 years 3 months ago
Binary Mesh Partitioning for Cache-Efficient Visualization
Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin
CCGRID
2004
IEEE
14 years 23 days ago
Lambda scheduling algorithm for file transfers on high-speed optical circuits
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
Hua Lee, Malathi Veeraraghavan, Hojun Li, Edwin K....
ICML
2009
IEEE
14 years 9 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
TKDE
2010
137views more  TKDE 2010»
13 years 7 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
TMA
2010
Springer
212views Management» more  TMA 2010»
14 years 3 months ago
EmPath: Tool to Emulate Packet Transfer Characteristics in IP Network
The paper describes the EmPath tool that was designed to emulate packet transfer characteristics as delays and losses in IP network. The main innovation of this tool is its ability...
Jaroslaw Sliwinski, Andrzej Beben, Piotr Krawiec