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Learning Functions of Few Arbitrary Linear Parameters in High Dimensions

Learning Functions of Few Arbitrary Linear Parameters in High Dimensions

18 August 2010
M. Fornasier
Karin Schnass
J. Vybíral
ArXivPDFHTML

Papers citing "Learning Functions of Few Arbitrary Linear Parameters in High Dimensions"

3 / 3 papers shown
Title
High-Dimensional Estimation of Structured Signals from Non-Linear
  Observations with General Convex Loss Functions
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions
Martin Genzel
219
45
0
10 Feb 2016
Noise Folding in Compressed Sensing
Noise Folding in Compressed Sensing
E. Arias-Castro
Yonina C. Eldar
42
176
0
19 Apr 2011
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
256
3,762
0
28 Jun 2007
1