Unsupervised feature selection based on variance-covariance subspace distance

Unsupervised feature selection for image classification: A bipartite matching-based principal component analysis approach

(2022) Firoozeh Beiranvand et al.   KNOWLEDGE-BASED SYSTEMS

Deep unsupervised feature selection by discarding nuisance and correlated features

(2022) Uri Shaham et al.   NEURAL NETWORKS

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection

(2022) Farid Saberi-Movahed et al.   KNOWLEDGE-BASED SYSTEMS

Review of swarm intelligence-based feature selection methods

(2021) Mehrdad Rostami et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

High dimensionality reduction by matrix factorization for systems pharmacology

(2021) Adel Mehrpooya et al.   BRIEFINGS IN BIOINFORMATICS

Dual-graph regularized subspace learning based feature selection

(2021) Chao Sheng et al.   DIGITAL SIGNAL PROCESSING

Robust neighborhood embedding for unsupervised feature selection

(2020) Yanfang Liu et al.   KNOWLEDGE-BASED SYSTEMS

Dual Global Structure Preservation Based Supervised Feature Selection

(2020) Qing Ye et al.   NEURAL PROCESSING LETTERS

Joint feature and instance selection using manifold data criteria: application to image classification

(2020) Fadi Dornaika   ARTIFICIAL INTELLIGENCE REVIEW

Unsupervised feature selection based on adaptive similarity learning and subspace clustering

(2020) Mohsen Ghassemi Parsa et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

CGA: a new feature selection model for visual human action recognition

(2020) Ritam Guha et al.   NEURAL COMPUTING & APPLICATIONS

Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning

(2019) Wei Zheng et al.   NEUROCOMPUTING

A review of unsupervised feature selection methods

(2019) Saúl Solorio-Fernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

Unsupervised feature selection via latent representation learning and manifold regularization

(2019) Chang Tang et al.   NEURAL NETWORKS

Unsupervised feature selection with multi-subspace randomization and collaboration

(2019) Dong Huang et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection by regularized matrix factorization

(2018) Miao Qi et al.   NEUROCOMPUTING

A Survey on semi-supervised feature selection methods

(2017) Razieh Sheikhpour et al.   PATTERN RECOGNITION

The Role of Principal Angles in Subspace Classification

(2016) Jiaji Huang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Schubert Varieties and Distances between Subspaces of Different Dimensions

(2016) Ke Ye et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Selecting feature subset with sparsity and low redundancy for unsupervised learning

(2015) Jiuqi Han et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection via maximum projection and minimum redundancy

(2015) Shiping Wang et al.   KNOWLEDGE-BASED SYSTEMS

Subspace learning for unsupervised feature selection via matrix factorization

(2015) Shiping Wang et al.   PATTERN RECOGNITION

A review of microarray datasets and applied feature selection methods

(2014) V. Bolón-Canedo et al.   INFORMATION SCIENCES

Discriminant Learning Through Multiple Principal Angles for Visual Recognition

(2011) Ya Su et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING