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» Estimating random variables from random sparse observations
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CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 4 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 4 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
FOCM
2011
188views more  FOCM 2011»
13 years 5 days ago
Compressive Wave Computation
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
Laurent Demanet, Gabriel Peyré

Presentation
1518views
15 years 9 months ago
Stochastic Segmentation of Blood Vessels From Time-of-Flight
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna
INFOCOM
2011
IEEE
13 years 12 days ago
Consolidating virtual machines with dynamic bandwidth demand in data centers
—Recent advances in virtualization technology have made it a common practice to consolidate virtual machines(VMs) into a fewer number of servers. An efficient consolidation sche...
Meng Wang, Xiaoqiao Meng, Li Zhang 0002