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CORR
2011
Springer
259views Education» more  CORR 2011»
15 years 2 days ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
PAMI
2011
15 years 18 hour ago
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
—We propose a convex formulation for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast a...
Daniel Cremers, Kalin Kolev
SIAMJO
2011
15 years 15 hour 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
SIAMSC
2011
151views more  SIAMSC 2011»
15 years 15 hour 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
JSA
2010
173views more  JSA 2010»
14 years 12 months ago
Hardware/software support for adaptive work-stealing in on-chip multiprocessor
During the past few years, embedded digital systems have been requested to provide a huge amount of processing power and functionality. A very likely foreseeable step to pursue th...
Quentin L. Meunier, Frédéric P&eacut...