Karin Schnass
Title
Cited by
Cited by
Year
Compressed sensing and redundant dictionaries
H Rauhut, K Schnass, P Vandergheynst
IEEE Transactions on Information Theory 54 (5), 2210-2219, 2008
6662008
Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms
R Gribonval, H Rauhut, K Schnass, P Vandergheynst
Journal of Fourier analysis and Applications 14 (5), 655-687, 2008
2052008
Dictionary identification - sparse matrix-factorization via l1 minimization
R Gribonval, K Schnass
Information Theory, IEEE Transactions on 56 (7), 3523-3539, 2010
1842010
Dictionary preconditioning for greedy algorithms
K Schnass, P Vandergheynst
IEEE Transactions on Signal Processing 56 (5), 1994-2002, 2008
1642008
Learning functions of few arbitrary linear parameters in high dimensions
M Fornasier, K Schnass, J Vybiral
Foundations of Computational Mathematics 12 (2), 229-262, 2012
932012
Average performance analysis for thresholding
K Schnass, P Vandergheynst
IEEE Signal Processing Letters 14 (11), 828-831, 2007
732007
On the identifiability of overcomplete dictionaries via the minimisation principle underlying K-SVD
K Schnass
Applied and Computational Harmonic Analysis, 2014, 2014
712014
Local identification of overcomplete dictionaries
K Schnass
Journal of Machine Learning Research, 2015
442015
Convergence radius and sample complexity of ITKM algorithms for dictionary learning
K Schnass
Applied and Computational Harmonic Analysis 45 (1), 22-58, 2018
402018
Average case analysis of multichannel thresholding
R Gribonval, B Mailhe, H Rauhut, K Schnass, P Vandergheynst
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
272007
Some recovery conditions for basis learning by L1-minimization
R Gribonval, K Schnass
2008 3rd International Symposium on Communications, Control and Signal …, 2008
202008
Dictionary identifiability from few training samples
R Gribonval, K Schnass
2008 16th European Signal Processing Conference, 1-5, 2008
192008
Fast dictionary learning from incomplete data
V Naumova, K Schnass
EURASIP journal on advances in signal processing 2018 (1), 1-21, 2018
142018
Average performance of orthogonal matching pursuit (OMP) for sparse approximation
K Schnass
IEEE Signal Processing Letters 25 (12), 1865-1869, 2018
142018
Compressed learning of high-dimensional sparse functions
K Schnass, J Vybíral
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
142011
Dictionary learning from incomplete data for efficient image restoration
V Naumova, K Schnass
2017 25th European Signal Processing Conference (EUSIPCO), 1425-1429, 2017
92017
A Personal Introduction to Theoretical Dictionary Learning
K Schnass
Internationale Mathematische Nachrichten, 2015
92015
A union of incoherent spaces model for classification
K Schnass, P Vandergheynst
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
72010
Dictionary learning based dimensionality reduction for classification
K Schnass, P Vandergheynst
2008 3rd International Symposium on Communications, Control and Signal …, 2008
62008
Atoms of all channels, unite
R Gribonval, H Rauhut, K Schnass, P Vandergheynst
Average case analysis of multi-channel sparse recovery using greedy …, 2007
62007
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Articles 1–20