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SIAMIS
2011
15 years 1 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
VLDB
2002
ACM
108views Database» more  VLDB 2002»
15 years 5 months ago
Energy-performance trade-offs for spatial access methods on memory-resident data
Abstract. The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight. Energy-conscious design is important at all levels of syste...
Ning An, Sudhanva Gurumurthi, Anand Sivasubramania...
SIAMSC
2011
151views more  SIAMSC 2011»
15 years 1 months ago
Inexact Newton Methods with Restricted Additive Schwarz Based Nonlinear Elimination for Problems with High Local Nonlinearity
The classical inexact Newton algorithm is an efficient and popular technique for solving large sparse nonlinear system of equations. When the nonlinearities in the system are wellb...
Xiao-Chuan Cai, Xuefeng Li
VLDB
2001
ACM
109views Database» more  VLDB 2001»
15 years 10 months ago
Analyzing energy behavior of spatial access methods for memory-resident data
The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight, together with performance considerations. Energy-conscious design is...
Ning An, Anand Sivasubramaniam, Narayanan Vijaykri...
ESANN
2008
15 years 7 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...