A supervised multi-view feature selection method based on locally sparse regularization and block computing

Multi-view subspace clustering via partition fusion

(2021) Juncheng Lv et al.   INFORMATION SCIENCES

Low-rank Matrix Regression for Image Feature Extraction and Feature Selection

(2020) Haoliang Yuan et al.   INFORMATION SCIENCES

Multi-view feature selection via Nonnegative Structured Graph Learning

(2020) Xiangpin Bai et al.   NEUROCOMPUTING

Distributed learning for supervised multiview feature selection

(2020) Min Men et al.   APPLIED INTELLIGENCE

Least Loss: A simplified filter method for feature selection

(2020) Fadi Thabtah et al.   INFORMATION SCIENCES

Learning robust affinity graph representation for multi-view clustering

(2020) Peiguang Jing et al.   INFORMATION SCIENCES

Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection

(2020) Han Zhang et al.   Information Fusion

Weighted feature selection via discriminative sparse multi-view learning

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

Exclusive feature selection and multi-view learning for Alzheimer’s Disease

(2019) Jiaye Li et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Multi-view adaptive semi-supervised feature selection with the self-paced learning

(2019) Caijuan Shi et al.   SIGNAL PROCESSING

Weight-and-Universum-based semi-supervised multi-view learning machine

(2019) Changming Zhu et al.   SOFT COMPUTING

Top- k multi-class SVM using multiple features

(2018) Caixia Yan et al.   INFORMATION SCIENCES

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization

(2018) Gongmin Lan et al.   NEUROCOMPUTING

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization

(2018) Guoqing Chao et al.   Information Fusion

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

(2018) Qiang Lin et al.   NEUROCOMPUTING

Semi-supervised feature selection analysis with structured multi-view sparse regularization

(2018) Caijuan Shi et al.   NEUROCOMPUTING

Multi-view Embedding with Adaptive Shared Output and Similarity for unsupervised feature selection

(2018) Shengzi Sun et al.   KNOWLEDGE-BASED SYSTEMS

Coupling privileged kernel method for multi-view learning

(2018) Jingjing Tang et al.   INFORMATION SCIENCES

Semisupervised Multiview Feature Selection for VHR Remote Sensing Images With Label Learning and Automatic View Generation

(2017) Xi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering

(2017) Jinglin Xu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

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

Self-Weighted Supervised Discriminative Feature Selection

(2017) Rui Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Weighted Multi-view Clustering with Feature Selection

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

Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition

(2015) Yahong Han et al.   IEEE Transactions on Neural Networks and Learning Systems

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

(2009) Salvador García et al.   INFORMATION SCIENCES