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» Estimating random variables from random sparse observations
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CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 5 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»
13 years 5 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»
14 years 1 months 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
16 years 10 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
14 years 1 months 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