Convergence of a block coordinate descent method for nondifferentiable minimization

Convergence of alternating optimization

Neural, Parallel & Scientific Computations

A syncro-parallel nonsmooth PGD algorithm for nonsmooth optimization

Journal of Applied Mathematics and Computing

A class of problems for which cyclic relaxation converges linearly

Computational Optimization and Applications

Manifold models for signals and images

Computer Vision and Image Understanding

Blind Source Separation with Spatio-Spectral Sparsity Constraints --- Application to Hyperspectral Data Analysis

ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation

Sparse Modeling of Textures

Journal of Mathematical Imaging and Vision

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Influence of forecasting electricity prices in the optimization of complex hydrothermal systems

Journal of Computational and Applied Mathematics

Adaptive up-sampling method using DCT for spatial scalability of scalable video coding

IEEE Transactions on Circuits and Systems for Video Technology

Sparse reconstruction by separable approximation

IEEE Transactions on Signal Processing

Morphological diversity and sparsity in blind source separation

ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation

An efficient algorithm for a class of fused lasso problems

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

Mathematics of Operations Research

Online adaptive estimation of sparse signals: where RLS meets the l1-norm

IEEE Transactions on Signal Processing

Estimating multiple frequency-hopping signal parameters via sparse linear regression

IEEE Transactions on Signal Processing

Distributed sparse linear regression

IEEE Transactions on Signal Processing

Split Bregman method for large scale fused Lasso

Computational Statistics & Data Analysis

Optimum subspace learning and error correction for tensors

ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III

Review: Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms

Signal Processing

Variable Sparsity Kernel Learning

The Journal of Machine Learning Research

A Multilevel Algorithm for Simultaneously Denoising and Deblurring Images

SIAM Journal on Scientific Computing

Learning the Morphological Diversity

SIAM Journal on Imaging Sciences

Distance metric learning guided adaptive subspace semi-supervised clustering

Frontiers of Computer Science in China

Adaptive coordinate descent

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Sparse non-negative tensor factorization using columnwise coordinate descent

Pattern Recognition

Common substructure learning of multiple graphical Gaussian models

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II

Graph optimization for dimensionality reduction with sparsity constraints

Pattern Recognition

Convex and Network Flow Optimization for Structured Sparsity

The Journal of Machine Learning Research

Locally Parallel Texture Modeling

SIAM Journal on Imaging Sciences

Missing values: sparse inverse covariance estimation and an extension to sparse regression

Statistics and Computing

Cyclic coordinate descent in hydrothermal nonsmooth problems

Numerical Algorithms

Knowledge-guided differential dependency network learning for detecting structural changes in biological networks

Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine

Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data

Computational Statistics & Data Analysis

A sparsity-inducing formulation for evolutionary co-clustering

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Maximum Block Improvement and Polynomial Optimization

SIAM Journal on Optimization

Statistical models and learning algorithms for ordinal regression problems

Information Fusion

X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting

Journal of Scientific Computing

A coordinate descent MM algorithm for fast computation of sparse logistic PCA

Computational Statistics & Data Analysis

Applying alternating direction method of multipliers for constrained dictionary learning

Neurocomputing

Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills

Signal Processing

Recursive regularization for large-scale classification with hierarchical and graphical dependencies

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Technical Section: Planar shape interpolation using relative velocity fields

Computers and Graphics

Multicategory large-margin unified machines

The Journal of Machine Learning Research

Geometry preserving multi-task metric learning

Machine Learning

Multi-instance multi-label learning with weak label

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Dimensionality reduction with adaptive graph

Frontiers of Computer Science: Selected Publications from Chinese Universities

Sparse group lasso and high dimensional multinomial classification

Computational Statistics & Data Analysis

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty

The Journal of Machine Learning Research

Multi-stage multi-task feature learning

The Journal of Machine Learning Research

Online Dictionary Learning Based Intra-frame Video Coding

Wireless Personal Communications: An International Journal

Embedded local feature selection within mixture of experts

Information Sciences: an International Journal