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SIAMJO
2011
14 years 7 months ago
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
Min Tao, Xiaoming Yuan
91
Voted
JBCS
2010
89views more  JBCS 2010»
14 years 7 months ago
Multicoordinated agreement for groups of agents
Agents in agreement protocols play well distinct roles. Proposers propose values to the acceptors, which will accept proposals and inform the learners so they detect that an agree...
Lásaro J. Camargos, Rodrigo Schmidt, Edmund...
99
Voted
JCAL
2010
101views more  JCAL 2010»
14 years 7 months ago
How East Asian classrooms may change over the next 20 years
Our schools have been experiencing three overlapping waves of technology adoption since the mid-1980s: the personal computer lab wave, the online learning wave, and the digital cl...
Tak-Wai Chan
121
Voted
SIAMCOMP
2010
109views more  SIAMCOMP 2010»
14 years 7 months ago
Analysis of Delays Caused by Local Synchronization
Synchronization is often necessary in parallel computing, but it can create delays whenever the receiving processor is idle, waiting for the information to arrive. This is especia...
Julia Lipman, Quentin F. Stout
141
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TSP
2010
14 years 7 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
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