Hybrid representations for audiophonic signal encoding
Signal Processing - Image and Video Coding beyond Standards
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximation of functions over redundant dictionaries using coherence
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Modeling Visual Patterns by Integrating Descriptive and Generative Methods
International Journal of Computer Vision
A Comparison of Signal Compression Methods by Sparse Solution of Linear Systems
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
On different facets of regularization theory
Neural Computation
Approximation bounds for some sparse kernel regression algorithms
Neural Computation
Advanced lectures on machine learning
ACM SIGGRAPH 2003 Papers
Adaptive Sparseness for Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regularized principal manifolds
The Journal of Machine Learning Research
The subspace information criterion for infinite dimensional hypothesis spaces
The Journal of Machine Learning Research
Some greedy learning algorithms for sparse regression and classification with mercer kernels
The Journal of Machine Learning Research
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Analysis of sparse representation and blind source separation
Neural Computation
A tutorial on support vector regression
Statistics and Computing
Gradient LASSO for feature selection
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Quantile regression for longitudinal data
Journal of Multivariate Analysis - Special issue on semiparametric and nonparametric mixed models
Blind source separation using block-coordinate relative Newton method
Signal Processing
Geometry-Aware Bases for Shape Approximation
IEEE Transactions on Visualization and Computer Graphics
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Second Order Cone Programming Formulations for Feature Selection
The Journal of Machine Learning Research
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Basis Pursuit Based Algorithm for Intra-Voxel Recovering Information in DW-MRI.
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Sparse Representation for Coarse and Fine Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse surface reconstruction with adaptive partition of unity and radial basis functions
Graphical Models - Special issue on SMI 2004
Sparse representations of polyphonic music
Signal Processing - Sparse approximations in signal and image processing
Image compression using an edge adapted redundant dictionary and wavelets
Signal Processing - Sparse approximations in signal and image processing
Sparse audio representations using the MCLT
Signal Processing - Sparse approximations in signal and image processing
A simple test to check the optimality of a sparse signal approximation
Signal Processing - Sparse approximations in signal and image processing
Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution
Signal Processing - Sparse approximations in signal and image processing
Extensions of compressed sensing
Signal Processing - Sparse approximations in signal and image processing
Algorithms for simultaneous sparse approximation: part II: Convex relaxation
Signal Processing - Sparse approximations in signal and image processing
On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms
Signal Processing - Sparse approximations in signal and image processing
Signal reconstruction in sensor arrays using sparse representations
Signal Processing - Sparse approximations in signal and image processing
Fast estimation of optimal sparseness of music signals
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Pitch-shifting audio signals using sparse atomic approximations
Proceedings of the 1st ACM workshop on Audio and music computing multimedia
Learning Sparse Overcomplete Codes for Images
Journal of VLSI Signal Processing Systems
Digital Signal Processing
Two dictionaries matching pursuit for sparse decomposition of signals
Signal Processing - Special section: Distributed source coding
Analysis of multimodal sequences using geometric video representations
Signal Processing - Special section: Multimodal human-computer interfaces
Feature space perspectives for learning the kernel
Machine Learning
Learning Sparse Overcomplete Codes for Images
Journal of VLSI Signal Processing Systems
On the computational rationale for generative models
Computer Vision and Image Understanding
Image Compression Through a Projection onto a Polyhedral Set
Journal of Mathematical Imaging and Vision
Learning Coordinate Covariances via Gradients
The Journal of Machine Learning Research
Estimation of Gradients and Coordinate Covariation in Classification
The Journal of Machine Learning Research
The price of privacy and the limits of LP decoding
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Bayesian compressive sensing and projection optimization
Proceedings of the 24th international conference on Machine learning
Support vector machines with adaptive Lq penalty
Computational Statistics & Data Analysis
Multiple description coding with redundant expansions and application to image communications
Journal on Image and Video Processing
Robust sparse component analysis based on a generalized Hough transform
EURASIP Journal on Applied Signal Processing
Sparse approximation of images inspired from the functional architecture of the primary visual areas
EURASIP Journal on Applied Signal Processing
A bilinear algorithm for sparse representations
Computational Optimization and Applications
Computers in Biology and Medicine
Representing Images Using Nonorthogonal Haar-Like Bases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gaussian averages of interpolated bodies and applications to approximate reconstruction
Journal of Approximation Theory
Neurocomputing
Acceleration-based Dopplerlet transform-Part I: Theory
Signal Processing
Finding effective points by surrogate models with overcomplete bases
Journal of Computational and Applied Mathematics
The simplex method applied to wavelet decomposition
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Estimation of semi-sparse radar range profiles
Digital Signal Processing
Multi-task compressive sensing with Dirichlet process priors
Proceedings of the 25th international conference on Machine learning
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
The Journal of Machine Learning Research
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
ECML '07 Proceedings of the 18th European conference on Machine Learning
On Sparsity Maximization in Tomographic Particle Image Reconstruction
Proceedings of the 30th DAGM symposium on Pattern Recognition
New Efficient Attacks on Statistical Disclosure Control Mechanisms
CRYPTO 2008 Proceedings of the 28th Annual conference on Cryptology: Advances in Cryptology
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Model selection approaches for non-linear system identification: a review
International Journal of Systems Science
Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction
ACM Transactions on Mathematical Software (TOMS)
Resolution Improvement of Scanning Acoustic Microscopy Using Sparse Signal Representation
Journal of Signal Processing Systems
Morphological Diversity and Sparsity for Multichannel Data Restoration
Journal of Mathematical Imaging and Vision
Image Decomposition Based on Curvelet and Wave Atom
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
K-hyperline clustering learning for sparse component analysis
Signal Processing
Elastic-net regularization in learning theory
Journal of Complexity
Generalization Error Estimation for Non-linear Learning Methods
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Sparse Decomposition Method for Periodic Signal Mixtures
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Regularized Framework for Feature Selection in Face Detection and Authentication
International Journal of Computer Vision
A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model
International Journal of Computer Vision
Review of user parameter-free robust adaptive beamforming algorithms
Digital Signal Processing
Journal of Mathematical Imaging and Vision
Neural Networks
Learning dictionaries of stable autoregressive models for audio scene analysis
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Group lasso with overlap and graph lasso
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Online dictionary learning for sparse coding
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Energy efficient sampling for event detection in wireless sensor networks
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
A distributed, scaleable simplex method
The Journal of Supercomputing
Compressive Algorithms--Adaptive Solutions of PDEs and Variational Problems
Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Patch-based video processing: a variational Bayesian approach
IEEE Transactions on Circuits and Systems for Video Technology
Image and video denoising using adaptive dual-tree discrete wavelet packets
IEEE Transactions on Circuits and Systems for Video Technology
Environmental sound recognition with time-frequency audio features
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Signal Processing
A fast approach for overcomplete sparse decomposition based on smoothed l0 norm
IEEE Transactions on Signal Processing
Improved FOCUSS method with conjugate gradient iterations
IEEE Transactions on Signal Processing
Blind multiband signal reconstruction: compressed sensing for analog signals
IEEE Transactions on Signal Processing
Sparse reconstruction by separable approximation
IEEE Transactions on Signal Processing
Underdetermined blind source separation based on subspace representation
IEEE Transactions on Signal Processing
A compressive sensing data acquisition and imaging method for stepped frequency GPRs
IEEE Transactions on Signal Processing
Exploiting structure in wavelet-based Bayesian compressive sensing
IEEE Transactions on Signal Processing
Compressed sensing of analog signals in shift-invariant spaces
IEEE Transactions on Signal Processing
Dictionary learning for sparse approximations with the majorization method
IEEE Transactions on Signal Processing
Gene identification and survival prediction with Lp Cox regression and novel similarity measure
International Journal of Data Mining and Bioinformatics
A sparsity-enforcing method for learning face features
IEEE Transactions on Image Processing
Efficient minimization method for a generalized total variation functional
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Geometric video approximation using weighted matching pursuit
IEEE Transactions on Image Processing
A plurality of sparse representations is better than the sparsest one alone
IEEE Transactions on Information Theory
Further results on stable recovery of sparse overcomplete representations in the presence of noise
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Restricted isometry constants where lpsparse recovery can fail for 0
IEEE Transactions on Information Theory
A short introduction to wavelets and their applications
IEEE Circuits and Systems Magazine
Techniques to obtain good resolution and concentrated time-frequency distributions: a review
EURASIP Journal on Advances in Signal Processing
Sparse reconstruction for compressed sensing using stagewise polytope faces pursuit
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Compressed sensing of time-varying signals
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Optimal quantization of random measurements in compressed sensing
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Sparsity-embracing multiuser detection for CDMA systems with low activity factor
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
A sparsity detection framework for on-off random access channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Robust recovery of signals from a structured union of subspaces
IEEE Transactions on Information Theory
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
IEEE Transactions on Information Theory
Uncertainty relations for shift-invariant analog signals
IEEE Transactions on Information Theory
Necessary and sufficient conditions for sparsity pattern recovery
IEEE Transactions on Information Theory
Stagewise weak gradient pursuits
IEEE Transactions on Signal Processing
An iterative Bayesian algorithm for sparse component analysis in presence of noise
IEEE Transactions on Signal Processing
Recovering sparse signals with a certain family of nonconvex penalties and DC programming
IEEE Transactions on Signal Processing
Parametric dictionary design for sparse coding
IEEE Transactions on Signal Processing
Image compression and recovery through compressive sampling and particle swarm
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Sparsity inspired selection and recognition of iris images
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
On compressive sensing applied to radar
Signal Processing
Sparse approximate solution of partial differential equations
Applied Numerical Mathematics
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
Online Learning for Matrix Factorization and Sparse Coding
The Journal of Machine Learning Research
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
The Journal of Machine Learning Research
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A bidirectional greedy heuristic for the subspace selection problem
SLS'07 Proceedings of the 2007 international conference on Engineering stochastic local search algorithms: designing, implementing and analyzing effective heuristics
Sparse approximation and the pursuit of meaningful signal models with interference adaptation
IEEE Transactions on Audio, Speech, and Language Processing
Representing musical sounds with an interpolating state model
IEEE Transactions on Audio, Speech, and Language Processing
On the total variation dictionary model
IEEE Transactions on Image Processing
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity
IEEE Transactions on Signal Processing
Fast sparse representation based on smoothed lo norm
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Dictionary learning for L1-exact sparse coding
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Sparse component analysis in presence of noise using an iterative EM-MAP algorithm
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Robust kernel methods for sparse MR image reconstruction
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Direction finding of multiple emitters by spatial sparsity and linear programming
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Compressive sensing of streams of pulses
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Coherence analysis of iterative thresholding algorithms
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Minimax rates of convergence for high-dimensional regression under lq-ball sparsity
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Performance analysis of support recovery with joint sparsity constraints
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Random channel coding and blind deconvolution
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Adaptive compressed sensing of speech signal based on data-driven dictionary
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Multiple target localization using compressive sensing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Text extraction from graphical document images using sparse representation
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
An overview of inverse problem regularization using sparsity
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Monotone operator splitting for optimization problems in sparse recovery
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A fast decoder for compressed sensing based multiple description image coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Compressed sensing for synthetic aperture radar imaging
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Block compressed sensing of images using directional transforms
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Randomness-in-structured ensembles for compressed sensing of images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Bounds on the number of identifiable outliers in source localization by linear programming
IEEE Transactions on Signal Processing
Variance-component based sparse signal reconstruction and model selection
IEEE Transactions on Signal Processing
Time-frequency energy distributions meet compressed sensing
IEEE Transactions on Signal Processing
An adaptive greedy algorithm with application to nonlinear communications
IEEE Transactions on Signal Processing
Block-sparse signals: uncertainty relations and efficient recovery
IEEE Transactions on Signal Processing
Learning sparse representation using iterative subspace identification
IEEE Transactions on Signal Processing
Model-based compressive sensing
IEEE Transactions on Information Theory
Bayesian compressive sensing using Laplace priors
IEEE Transactions on Image Processing
Variable density compressed image sampling
IEEE Transactions on Image Processing
Shannon-theoretic limits on noisy compressive sampling
IEEE Transactions on Information Theory
Average case analysis of multichannel sparse recovery using convex relaxation
IEEE Transactions on Information Theory
Beyond Nyquist: efficient sampling of sparse bandlimited signals
IEEE Transactions on Information Theory
Theoretical and empirical results for recovery from multiple measurements
IEEE Transactions on Information Theory
Information-theoretic limits on sparse signal recovery: dense versus sparse measurement matrices
IEEE Transactions on Information Theory
Compressive oversampling for robust data transmission in sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Compressive sensing based positioning using RSS of WLAN access points
INFOCOM'10 Proceedings of the 29th conference on Information communications
Pattern Recognition Letters
IEEE Transactions on Information Theory
On compressed sensing and its application to speech and audio signals
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Recovering tensor data from incomplete measurement via compressive sampling
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Computationally efficient sparse Bayesian learning via belief propagation
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A note on optimal support recovery in compressed sensing
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Sparse representation of medical images via compressed sensing using Gaussian scale mixtures
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
LS-CS-residual (LS-CS): compressive sensing on least squares residual
IEEE Transactions on Signal Processing
Projected Landweber iteration for matrix completion
Journal of Computational and Applied Mathematics
Restricted Eigenvalue Properties for Correlated Gaussian Designs
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation
IEEE Transactions on Neural Networks
Online adaptive estimation of sparse signals: where RLS meets the l1-norm
IEEE Transactions on Signal Processing
Minimizing nonconvex functions for sparse vector reconstruction
IEEE Transactions on Signal Processing
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
IEEE Transactions on Signal Processing
Modified-CS: modifying compressive sensing for problems with partially known support
IEEE Transactions on Signal Processing
Direction-of-arrival estimation using a mixed l2,0norm approximation
IEEE Transactions on Signal Processing
L1 regularized regression for reranking and system combination in machine translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Asymptotic analysis of robust LASSOs in the presence of noise with large variance
IEEE Transactions on Information Theory
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Coherence-based performance guarantees for estimating a sparse vector under random noise
IEEE Transactions on Signal Processing
Distributed sparse linear regression
IEEE Transactions on Signal Processing
On the stable recovery of the sparsest overcomplete representations in presence of noise
IEEE Transactions on Signal Processing
BasisDetect: a model-based network event detection framework
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Expert Systems with Applications: An International Journal
The Gelfand widths of lp-balls for 0
Journal of Complexity
Hybrid compressive sampling via a new total variation TVL1
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Performance analysis for sparse support recovery
IEEE Transactions on Information Theory
Super-resolution with sparse mixing estimators
IEEE Transactions on Image Processing
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Computationally efficient sparse Bayesian learning via belief propagation
IEEE Transactions on Signal Processing
An improved smoothed l0approximation algorithm for sparse representation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Range-doppler imaging via forward-backward sparse bayesian learning
IEEE Transactions on Signal Processing
Application of compressive sensing to sparse channel estimation
IEEE Communications Magazine
Optimized projection matrix for compressive sensing
EURASIP Journal on Advances in Signal Processing
Sparsity-aware estimation of CDMA system parameters
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Dictionary learning for sparse representations: a Pareto curve root finding approach
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Fast block-sparse decomposition based on SL0
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Recovering spikes from noisy neuronal calcium signals via structured sparse approximation
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration
Journal of Scientific Computing
On similarity search in audio signals using adaptive sparse approximations
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
Sparse models for gender classification
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A non-adapted sparse approximation of PDEs with stochastic inputs
Journal of Computational Physics
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
The Journal of Machine Learning Research
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization
Journal of Complexity
SIAM Journal on Scientific Computing
Learning the Morphological Diversity
SIAM Journal on Imaging Sciences
A coordinate gradient descent method for l1-regularized convex minimization
Computational Optimization and Applications
A fast method of feature extraction for kernel MSE
Neurocomputing
A Bayesian Lasso via reversible-jump MCMC
Signal Processing
Adaptive algorithms for sparse system identification
Signal Processing
Reconstruction of compressed samples in shift-invariant space base on matrix factorization
Computers and Electrical Engineering
Regularized latent semantic indexing
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Rank aggregation via nuclear norm minimization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proximal Methods for Hierarchical Sparse Coding
The Journal of Machine Learning Research
Robust ISAR imaging based on compressive sensing from noisy measurements
Signal Processing
Bayesian compressive sensing for cluster structured sparse signals
Signal Processing
Compressed sensing for efficient random routing in multi-hop wireless sensor networks
International Journal of Communication Networks and Distributed Systems
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
Group coordinate descent algorithms for nonconvex penalized regression
Computational Statistics & Data Analysis
Multi-label classification for image annotation via sparse similarity voting
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Sparse representations for spatial prediction and texture refinement
Journal of Visual Communication and Image Representation
Compression and denoising using l0-norm
Computational Optimization and Applications
Patch reprojections for Non-Local methods
Signal Processing
Emerging topic detection using dictionary learning
Proceedings of the 20th ACM international conference on Information and knowledge management
Sparse representation of deformable 3D organs with spherical harmonics and structured dictionary
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
Anti-sampling-distortion compressive wideband spectrum sensing for Cognitive Radio
International Journal of Mobile Communications
Compressive sensing of underground structures using GPR
Digital Signal Processing
Convex and Network Flow Optimization for Structured Sparsity
The Journal of Machine Learning Research
Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing
SIAM Journal on Scientific Computing
Gradient-Based Methods for Sparse Recovery
SIAM Journal on Imaging Sciences
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
SIAM Journal on Imaging Sciences
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
SIAM Journal on Optimization
Theory and Applications of Robust Optimization
SIAM Review
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
On iterative compressed sensing reconstruction of sparse non-negative vectors
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Fast communication: Constraint removal for sparse signal recovery
Signal Processing
Iterative reweighted l1 design of sparse FIR filters
Signal Processing
Sparse nonnegative matrix factorization with ℓ0-constraints
Neurocomputing
Error bounds for convex parameter estimation
Signal Processing
Recovery of sparse representations by polytope faces pursuit
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Sparse deflations in blind signal separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
ECML'05 Proceedings of the 16th European conference on Machine Learning
Sparse neighbor representation for classification
Pattern Recognition Letters
Dimension reduction vs. variable selection
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
High-resolution ranging method based on low-rate parallel random sampling
Digital Signal Processing
Sparse representations and sphere decoding for array signal processing
Digital Signal Processing
Estimating human pose from occluded images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Sparse Legendre expansions via l1-minimization
Journal of Approximation Theory
Efficient cross-correlation via sparse representation in sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
Block-Based Compressed Sensing of Images and Video
Foundations and Trends in Signal Processing
Regularized sparse representation for spectrometric pulse separation and counting rate estimation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Group polytope faces pursuit for recovery of block-sparse signals
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Matrix-free interior point method
Computational Optimization and Applications
A* orthogonal matching pursuit: Best-first search for compressed sensing signal recovery
Digital Signal Processing
Matching Pursuits with random sequential subdictionaries
Signal Processing
Computational Statistics & Data Analysis
Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data
Computational Statistics & Data Analysis
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Pruning least objective contribution in KMSE
Neurocomputing
Heteroscedastic Sparse Representation Based Classification for Face Recognition
Neural Processing Letters
Convex feasibility modeling and projection methods for sparse signal recovery
Journal of Computational and Applied Mathematics
Supervised dictionary learning for music genre classification
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Evaluation of decomposition tools for sea floor pressure data
Computers & Geosciences
Adaptive Compressed Image Sensing Using Dictionaries
SIAM Journal on Imaging Sciences
SIAM Journal on Optimization
ℓ1-Penalized projected bellman residual
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Structured sparsity via alternating direction methods
The Journal of Machine Learning Research
A comparison of the lasso and marginal regression
The Journal of Machine Learning Research
Group matrix factorization for scalable topic modeling
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Strengthening hash families and compressive sensing
Journal of Discrete Algorithms
Sparse hidden markov models for surgical gesture classification and skill evaluation
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
Abnormal event detection via multi-instance dictionary learning
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
SAR image reconstruction and autofocus by compressed sensing
Digital Signal Processing
SHREC'12 track: sketch-based 3D shape retrieval
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
BTF compression via sparse tensor decomposition
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
Decentralized indoor wireless localization using compressed sensing of signal-strength fingerprints
Proceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Learning the coordinate gradients
Advances in Computational Mathematics
Two systems for automatic music genre recognition: what are they really recognizing?
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling
ACM Transactions on Information Systems (TOIS)
Joint estimation of segmentation and structure from motion
Computer Vision and Image Understanding
Computational Optimization and Applications
Multi-resolutive sparse approximations of d-dimensional data
Computer Vision and Image Understanding
A projected conjugate gradient method for compressive sensing
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Compressive system identification: Sequential methods and entropy bounds
Digital Signal Processing
A Bayesian approach to SAR imaging
Digital Signal Processing
Dictionary learning based sparse coefficients for audio classification with max and average pooling
Digital Signal Processing
Dictionary learning for image prediction
Journal of Visual Communication and Image Representation
Compressive light field photography using overcomplete dictionaries and optimized projections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Fractal pursuit for compressive sensing signal recovery
Computers and Electrical Engineering
Exact sparse recovery with L0 projections
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Compressive speech enhancement
Speech Communication
Multiple spectral kernel learning and a gaussian complexity computation
Neural Computation
Document noise removal using sparse representations over learned dictionary
Proceedings of the 2013 ACM symposium on Document engineering
Regularized vector field learning with sparse approximation for mismatch removal
Pattern Recognition
Robust periocular recognition by fusing local to holistic sparse representations
Proceedings of the 6th International Conference on Security of Information and Networks
Compressed sensing signal recovery via forward-backward pursuit
Digital Signal Processing
Sensor selection via compressed sensing
Automatica (Journal of IFAC)
Sparse signal reconstruction using decomposition algorithm
Knowledge-Based Systems
Search for sparse active inputs: a review
Information Theory, Combinatorics, and Search Theory
Editor's Choice Article: Hierarchical classification of images by sparse approximation
Image and Vision Computing
Nesterov's algorithm solving dual formulation for compressed sensing
Journal of Computational and Applied Mathematics
Face recognition for web-scale datasets
Computer Vision and Image Understanding
Pose-based human action recognition via sparse representation in dissimilarity space
Journal of Visual Communication and Image Representation
Nonparametric sparsity and regularization
The Journal of Machine Learning Research
Supervised feature selection in graphs with path coding penalties and network flows
The Journal of Machine Learning Research
Greedy feature selection for subspace clustering
The Journal of Machine Learning Research
SR-NBS: A fast sparse representation based N-best class selector for robust phoneme classification
Engineering Applications of Artificial Intelligence
Online dictionary learning algorithm with periodic updates and its application to image denoising
Expert Systems with Applications: An International Journal
Multi-label learning under feature extraction budgets
Pattern Recognition Letters
An infeasible-point subgradient method using adaptive approximate projections
Computational Optimization and Applications
Homogeneous Penalizers and Constraints in Convex Image Restoration
Journal of Mathematical Imaging and Vision
Non-negative sparse decomposition based on constrained smoothed ℓ0 norm
Signal Processing
On MAP and MMSE estimators for the co-sparse analysis model
Digital Signal Processing
A frame based shrinkage procedure for fast oscillating functions
Computational Statistics & Data Analysis
| Hi-index | 1.16 |
The time-frequency and time-scale communities have recently developed a large number of overcomplete waveform dictionaries --- stationary wavelets, wavelet packets, cosine packets, chirplets, and warplets, to name a few. Decomposition into overcomplete systems is not unique, and several methods for decomposition have been proposed, including the method of frames (MOF), Matching pursuit (MP), and, for special dictionaries, the best orthogonal basis (BOB).Basis Pursuit (BP) is a principle for decomposing a signal into an "optimal" superposition of dictionary elements, where optimal means having the smallest l1 norm of coefficients among all such decompositions. We give examples exhibiting several advantages over MOF, MP, and BOB, including better sparsity and superresolution. BP has interesting relations to ideas in areas as diverse as ill-posed problems, in abstract harmonic analysis, total variation denoising, and multiscale edge denoising.BP in highly overcomplete dictionaries leads to large-scale optimization problems. With signals of length 8192 and a wavelet packet dictionary, one gets an equivalent linear program of size 8192 by 212,992. Such problems can be attacked successfully only because of recent advances in linear programming by interior-point methods. We obtain reasonable success with a primal-dual logarithmic barrier method and conjugate-gradient solver.