Coherence-based performance guarantees for estimating a sparse vector under random noise
IEEE Transactions on Signal Processing
Sparse representations and approximation theory
Journal of Approximation Theory
On inferring image label information using rank minimization for supervised concept embedding
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Image super resolution using sparse image and singular values as priors
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Extracting insights from social media with large-scale matrix approximations
IBM Journal of Research and Development
An envelope signal based deconvolution algorithm for ultrasound imaging
Signal Processing
Proceedings of the fifth ACM international conference on Web search and data mining
Separation of sparse signals in overdetermined linear-quadratic mixtures
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Image separation using wavelets and shearlets
Proceedings of the 7th international conference on Curves and Surfaces
On single image scale-up using sparse-representations
Proceedings of the 7th international conference on Curves and Surfaces
Large-scale distributed non-negative sparse coding and sparse dictionary learning
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Evolution-enhanced multiscale overcomplete dictionaries learning for image denoising
Engineering Applications of Artificial Intelligence
Registration for correlative microscopy using image analogies
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
Enhancing face recognition at a distance using super resolution
Proceedings of the on Multimedia and security
Multiple fundamental frequency estimation based on sparse representations in a structured dictionary
Digital Signal Processing
A Bayesian active learning framework for a two-class classification problem
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Sparse embedding: a framework for sparsity promoting dimensionality reduction
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Fast image deconvolution using closed-form thresholding formulas of Lq(q=12,23) regularization
Journal of Visual Communication and Image Representation
Image recovery from partial wavelet coefficients via sparse representation
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
OMP or BP? a comparison study of image fusion based on joint sparse representation
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Image primitive coding and visual quality assessment
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
A restoration algorithm for images contaminated by mixed Gaussian plus random-valued impulse noise
Journal of Visual Communication and Image Representation
Simultaneous image fusion and super-resolution using sparse representation
Information Fusion
Document noise removal using sparse representations over learned dictionary
Proceedings of the 2013 ACM symposium on Document engineering
Classification approach based on non-negative least squares
Neurocomputing
Analysis of classification accuracy for pre-filtered multichannel remote sensing data
Expert Systems with Applications: An International Journal
Learned shrinkage approach for low-dose reconstruction in computed tomography
Journal of Biomedical Imaging
PRIB'13 Proceedings of the 8th IAPR international conference on Pattern Recognition in Bioinformatics
Attribute-efficient evolvability of linear functions
Proceedings of the 5th conference on Innovations in theoretical computer science
Sparse Representation Shape Models
Journal of Mathematical Imaging and Vision
Engineering Applications of Artificial Intelligence
Low Frequency Interpolation of Room Impulse Responses Using Compressed Sensing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
On MAP and MMSE estimators for the co-sparse analysis model
Digital Signal Processing
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This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging. Sparse and Redundant Representations is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image processing.