Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding

Unsupervised feature selection by non-convex regularized self-representation

(2021) Jianyu Miao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dual space latent representation learning for unsupervised feature selection

(2021) Ronghua Shang et al.   PATTERN RECOGNITION

A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification

(2020) Osman Gokalp et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic feature selection method with minimum redundancy information for linear data

(2020) HongFang Zhou et al.   APPLIED INTELLIGENCE

Robust multi-label feature selection with dual-graph regularization

(2020) Juncheng Hu et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection with adaptive multiple graph learning

(2020) Peng Zhou et al.   PATTERN RECOGNITION

Unsupervised and Semisupervised Projection With Graph Optimization

(2020) Feiping Nie et al.   IEEE Transactions on Neural Networks and Learning Systems

A feature selection approach for hyperspectral image based on modified ant lion optimizer

(2019) Mingwei Wang et al.   KNOWLEDGE-BASED SYSTEMS

Local Discriminative Based Sparse Subspace Learning for Feature Selection

(2019) Ronghua Shang et al.   PATTERN RECOGNITION

Unsupervised feature selection via latent representation learning and manifold regularization

(2019) Chang Tang et al.   NEURAL NETWORKS

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

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

Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

(2019) Yong Zhang et al.   PATTERN RECOGNITION

Robust unsupervised feature selection via dual self-representation and manifold regularization

(2018) Chang Tang et al.   KNOWLEDGE-BASED SYSTEMS

Feature Selection With ℓ2,1-2 Regularization

(2018) Yong Shi 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

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

(2018) Xuelong Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Self-Weighted Supervised Discriminative Feature Selection

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

Hybrid feature selection based on enhanced genetic algorithm for text categorization

(2016) Abdullah Saeed Ghareb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Sparse discriminative feature selection

(2015) Hui Yan et al.   PATTERN RECOGNITION

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

(2013) Chenping Hou et al.   IEEE Transactions on Cybernetics

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

(2011) Zhaoshui He et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Graph dual regularization non-negative matrix factorization for co-clustering

(2011) Fanhua Shang et al.   PATTERN RECOGNITION