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ICASSP
2008
IEEE
16 years 1 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
204
Voted
HPDC
2007
IEEE
16 years 1 months ago
A provisioning model and its comparison with best-effort for performance-cost optimization in grids
The resource availability in Grids is generally unpredictable due to the autonomous and shared nature of the Grid resources and stochastic nature of the workload resulting in a be...
Gurmeet Singh, Carl Kesselman, Ewa Deelman
ICC
2007
IEEE
104views Communications» more  ICC 2007»
16 years 1 months ago
A Novel Graph Model for Maximum Survivability in Mesh Networks under Multiple Generic Risks
— This paper investigates the path protection problem in mesh networks under multiple generic risks. Disjoint logical links may fail simultaneously if they share the same compone...
Qingya She, Xiaodong Huang, Jason P. Jue
ICCV
2007
IEEE
16 years 1 months ago
Surface-from-Gradients with Incomplete Data for Single View Modeling
Surface gradients are useful to surface reconstruction in single view modeling, shape-from-shading, and photometric stereo. Previous algorithms minimize a complex, nonlinear energ...
Heung-Sun Ng, Tai-Pang Wu, Chi-Keung Tang
252
Voted
SEMCO
2007
IEEE
16 years 1 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng