Unsupervised feature selection guided by orthogonal representation of feature space

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

(2022) Farshad Saberi-Movahed et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Low-rank dictionary learning for unsupervised feature selection

(2022) Mohsen Ghassemi Parsa et al.   EXPERT SYSTEMS WITH APPLICATIONS

High dimensionality reduction by matrix factorization for systems pharmacology

(2021) Adel Mehrpooya et al.   BRIEFINGS IN BIOINFORMATICS

Pairwise dependence-based unsupervised feature selection

(2020) Hyunki Lim et al.   PATTERN RECOGNITION

Adaptive Component Embedding for Domain Adaptation

(2020) Mengmeng Jing et al.   IEEE Transactions on Cybernetics

Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection

(2019) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Locality Preserving Joint Transfer for Domain Adaptation

(2019) Jingjing Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

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

Self-weighted discriminative feature selection via adaptive redundancy minimization

(2018) Tong Wu et al.   NEUROCOMPUTING

Unsupervised feature selection by regularized matrix factorization

(2018) Miao Qi et al.   NEUROCOMPUTING

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction

(2018) Yan Zhang et al.   PATTERN RECOGNITION

Feature selection method with joint maximal information entropy between features and class

(2018) Kangfeng Zheng et al.   PATTERN RECOGNITION

Unsupervised feature selection by combining subspace learning with feature self-representation

(2018) Yangding Li et al.   PATTERN RECOGNITION LETTERS

Adaptive Unsupervised Feature Selection With Structure Regularization

(2018) Minnan Luo et al.   IEEE Transactions on Neural Networks and Learning Systems

Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

(2018) Ronghua Shang et al.   IEEE Transactions on Cybernetics

Occam's razor in dimension reduction: Using reduced row Echelon form for finding linear independent features in high dimensional microarray datasets

(2017) Mohammad Kazem Ebrahimpour et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Feature self-representation based hypergraph unsupervised feature selection via low-rank representation

(2017) Wei He et al.   NEUROCOMPUTING

An efficient semi-supervised representatives feature selection algorithm based on information theory

(2017) Yintong Wang et al.   PATTERN RECOGNITION

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria

(2017) Jin Xu et al.   IEEE Transactions on Neural Networks and Learning Systems

Low-Rank Discriminant Embedding for Multiview Learning

(2017) Jingjing Li et al.   IEEE Transactions on Cybernetics

Unsupervised spectral feature selection with l1-norm graph

(2016) Xiaodong Wang et al.   NEUROCOMPUTING

Subspace learning for unsupervised feature selection via matrix factorization

(2015) Shiping Wang et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Manifold-respecting discriminant nonnegative matrix factorization

(2011) Shounan An et al.   PATTERN RECOGNITION LETTERS