Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion

Multi-view feature selection via Nonnegative Structured Graph Learning

(2020) Xiangpin Bai et al.   NEUROCOMPUTING

Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution

(2019) Habiba Arshad et al.   International Journal of Machine Learning and Cybernetics

Weighted feature selection via discriminative sparse multi-view learning

(2019) Jing Zhong et al.   KNOWLEDGE-BASED SYSTEMS

Multi-task feature selection with sparse regularization to extract common and task-specific features

(2019) Jiashuai Zhang et al.   NEUROCOMPUTING

Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

(2019) Gang Kou et al.   APPLIED SOFT COMPUTING

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

(2019) Chun-Na Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Supervised feature selection by constituting a basis for the original space of features and matrix factorization

(2019) Farid Saberi-Movahed et al.   International Journal of Machine Learning and Cybernetics

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization

(2018) Gongmin Lan et al.   NEUROCOMPUTING

A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

(2018) C. Okan Sakar et al.   APPLIED SOFT COMPUTING

A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE

(2018) Yiling Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Structured sparse multi-view feature selection based on weighted hinge loss

(2018) Nan Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A sharing multi-view feature selection method via Alternating Direction Method of Multipliers

(2018) Qiang Lin et al.   NEUROCOMPUTING

Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks

(2018) Ganesh Krishnasamy et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Adaptive-weighting discriminative regression for multi-view classification

(2018) Muli Yang et al.   PATTERN RECOGNITION

Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis

(2017) Caijuan Shi et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Convex Multiview Semi-Supervised Classification

(2017) Feiping Nie et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multi-view learning overview: Recent progress and new challenges

(2017) Jing Zhao et al.   Information Fusion

A novel low-rank hypergraph feature selection for multi-view classification

(2017) Xiaohui Cheng et al.   NEUROCOMPUTING

Robust unsupervised feature selection via matrix factorization

(2017) Shiqiang Du et al.   NEUROCOMPUTING

Graph Learning for Multiview Clustering

(2017) Kun Zhan et al.   IEEE Transactions on Cybernetics

Graph-regularized multi-view semantic subspace learning

(2017) Jinye Peng et al.   International Journal of Machine Learning and Cybernetics

Adaptive linearized alternating direction method of multipliers for non-convex compositely regularized optimization problems

(2017) Linbo Qiao et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Weighted Multi-view Clustering with Feature Selection

(2016) Yu-Meng Xu et al.   PATTERN RECOGNITION

Block-Row Sparse Multiview Multilabel Learning for Image Classification

(2016) Xiaofeng Zhu et al.   IEEE Transactions on Cybernetics

Automatic Spatial–Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal Learning

(2015) Qian Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis

(2015) Wanqi Yang et al.   IEEE Transactions on Neural Networks and Learning Systems