Fetching the paper…
Reading the bibliography…
Standard compressive sensing results state that to exactly recover an s sparse signal in R^p, one requires O(s.
On Milman’s inequality and random subspaces which escape through a mesh in ℝ n \mathbb{R}^{n}
Y. Gordon · 1986
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibshirani · 1996
Earlier work this paper cites.
Variational analysis
T. Rockafellar and J. B. Wets · 1997
Earlier work this paper cites.
Wavelet based statistical signal processing using hidden markov models
M. S. Crouse, R. D. Nowak, and R. G. Baraniuk · 1998
Earlier work this paper cites.
Bayesian tree structured image modeling using wavelet domain hidden markov models
J. K Romberg, H. Choi, and R. G Baraniuk · 2000
Earlier work this paper cites.
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression proÞles
A. Subramanian et al · 2005
Earlier work this paper cites.
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
E. J. Candes, J. Romberg, and T. Tao · 2006
Earlier work this paper cites.
Compressed sensing
D. L. Donoho · 2006
Earlier work this paper cites.
Reconstruction and subgaussian operators in asymptotic geometric analysis
S. Mendelson, A. Pajor, and N. Tomczak-Jaegermann · 2006
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
M. Yuan and Y. Lin · 2006
Cited alongside, same era.
Consistency of the group lasso and multiple kernel learning
F. Bach · 2008
Cited alongside, same era.
Cosamp: Iterative signal recovery from incomplete and inaccurate samples
D. Needell and J. Tropp · 2008
Cited alongside, same era.
Model-based compressive sensing for signal ensembles
M. F. Duarte, V. Cevher, and R. G. Baraniuk · 2009
Cited alongside, same era.
J. Huang and T Zhang · 2009
Cited alongside, same era.
Learning with structured sparsity
J. Huang, T. Zhang, and D. Metaxas · 2009
Blind multi-band signal reconstruction: compressed sensing for analog signals
M. Mishali and Y. Eldar · 2009
Later among the works it cites.
Sparse reconstruction by separable approximation
S. J. Wright, R. D. Nowak, and M. A. T. Figueiredo · 2009
Later among the works it cites.
Model-based compressive sensing
R. G. Baraniuk, V. Cevher, M. F. Duarte, and C. Hegde · 2010
Later among the works it cites.
The convex geometry of linear inverse problems
V. Chandrasekaran, B. Recht, P. A. Parrilo, and A Willsky · 2010
Later among the works it cites.
Proximal methods for hierarchical sparse coding
R. Jenatton, J. Mairal, G. Obozinski, , and F. Bach · 2010
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Group lasso with overlap and graph lasso
L. Jacob, G. Obozinski, and J. P. Vert · 2009
Cited alongside, same era.
Structured variable selection with sparsity inducing norms
R. Jenatton, J.Y. Audibert, and F. Bach · 2009
Cited alongside, same era.
S. Mosci, S. Villa, A. Verri, and L. Rosasco · 2010
Later among the works it cites.
A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers
S. Negahban, P. Ravikumar, M. Wainwright, and B. Yu · 2010
Later among the works it cites.
Convex approaches to model wavelet sparsity patterns
N. Rao, R. Nowak, S. Wright, and N. Kingsbury · 2011
Closest in time.