Dual space latent representation learning for unsupervised feature selection

Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection

(2019) Haoliang Yuan et al.   PATTERN RECOGNITION

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

Simultaneous feature selection and discretization based on mutual information

(2019) Sadia Sharmin et al.   PATTERN RECOGNITION

Unsupervised feature selection via adaptive hypergraph regularized latent representation learning

(2019) Deqiong Ding et al.   NEUROCOMPUTING

Structured learning for unsupervised feature selection with high-order matrix factorization

(2019) Shiping Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Dual regularized multi-view non-negative matrix factorization for clustering

(2018) Peng Luo et al.   NEUROCOMPUTING

Learning robust latent representation for discriminative regression

(2018) Jinrong Cui et al.   PATTERN RECOGNITION LETTERS

Exploiting Combination Effect for Unsupervised Feature Selection by ℓ2,0 Norm

(2018) Xingzhong Du 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

Feature Selection with Multi-view Data: A Survey

(2018) Rui Zhang et al.   Information Fusion

Maximum Correntropy Criterion based Sparse Subspace Learning for Unsupervised Feature Selection

(2017) Nan Zhou et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

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

Unsupervised feature selection based on self-representation sparse regression and local similarity preserving

(2017) Ronghua Shang et al.   International Journal of Machine Learning and Cybernetics

Feature Selection for Adaptive Dual-Graph Regularized Concept Factorization for Data Representation

(2016) Jun Ye et al.   NEURAL PROCESSING LETTERS

Global discriminative-based nonnegative spectral clustering

(2016) Ronghua Shang et al.   PATTERN RECOGNITION

Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR)

(2015) Monami Banerjee et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Sparse discriminative feature selection

(2015) Hui Yan et al.   PATTERN RECOGNITION

Dual-graph regularized concept factorization for clustering

(2014) Jun Ye et al.   NEUROCOMPUTING

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

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

(2010) Zenglin Xu et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS