Accelerated Log-Regularized Convolutional Transform Learning and Its Convergence Guarantee

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

(2020) Yanan Sun et al.   IEEE Transactions on Cybernetics

An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder

(2019) Lingjun Zhao et al.   IEEE Internet of Things Journal

Convolutional Analysis Operator Learning: Dependence on Training Data

(2019) Il Yong Chun et al.   IEEE SIGNAL PROCESSING LETTERS

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

(2019) Peng Bao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

(2019) Saiprasad Ravishankar et al.   PROCEEDINGS OF THE IEEE

Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins

(2019) Kan Xie et al.   IEEE Transactions on Neural Networks and Learning Systems

Adaptive NN Control Without Feasibility Conditions for Nonlinear State Constrained Stochastic Systems With Unknown Time Delays

(2019) Dapeng Li et al.   IEEE Transactions on Cybernetics

Places: A 10 Million Image Database for Scene Recognition

(2018) Bolei Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning

(2018) Jeremias Sulam et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer

(2018) Zhenni Li et al.   NEURAL NETWORKS

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

(2018) Yu Zhang et al.   IEEE Transactions on Cybernetics

Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification

(2018) Shuang Feng et al.   IEEE Transactions on Cybernetics

Analysis dictionary learning using block coordinate descent framework with proximal operators

(2017) Zhenni Li et al.   NEUROCOMPUTING

Weighted Joint Sparse Representation for Removing Mixed Noise in Image

(2017) Licheng Liu et al.   IEEE Transactions on Cybernetics

Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis

(2016) Chenglong Bao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning

(2016) Jing Dong et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

(2016) Jinshan Zeng et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

DC Proximal Newton for Nonconvex Optimization Problems

(2016) Alain Rakotomamonjy et al.   IEEE Transactions on Neural Networks and Learning Systems

Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees

(2015) Saiprasad Ravishankar et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators

(2015) Zhenni Li et al.   NEURAL COMPUTATION

K-SVD Meets Transform Learning: Transform K-SVD

(2014) Ender M. Eksioglu et al.   IEEE SIGNAL PROCESSING LETTERS

An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint

(2014) Ye Zhang et al.   TheScientificWorldJOURNAL

Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

(2011) Hedy Attouch et al.   MATHEMATICAL PROGRAMMING

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences