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» Phase Transitions for Greedy Sparse Approximation Algorithms
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CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 11 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
INFOCOM
2003
IEEE
15 years 4 months ago
Robust Monitoring of Link Delays and Faults in IP Networks
Abstract – In this paper, we develop failure-resilient techniques for monitoring link delays and faults in a Service Provider or Enterprise IP network. Our two-phased approach at...
Yigal Bejerano, Rajeev Rastogi
ICCV
2011
IEEE
13 years 11 months ago
Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment
We present a generalized subgraph preconditioning (GSP) technique to solve large-scale bundle adjustment problems efficiently. In contrast with previous work which uses either di...
Yong-Dian Jian, Doru C. Balcan, Frank Dellaert
ICML
2009
IEEE
16 years 12 days ago
Learning with structured sparsity
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
14 years 6 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...