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

An improved NSGA-III algorithm for feature selection used in intrusion detection

(2017) Yingying Zhu et al.   KNOWLEDGE-BASED SYSTEMS

A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data

(2017) Hong Wang et al.   KNOWLEDGE-BASED SYSTEMS

A novel bacterial algorithm with randomness control for feature selection in classification

(2017) Hong Wang et al.   NEUROCOMPUTING

Invariant feature extraction for gait recognition using only one uniform model

(2017) Shiqi Yu et al.   NEUROCOMPUTING

Cross-heterogeneous-database age estimation through correlation representation learning

(2017) Qing Tian et al.   NEUROCOMPUTING

A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification

(2017) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

Feature Selection Based on Structured Sparsity: A Comprehensive Study

(2017) Jie Gui et al.   IEEE Transactions on Neural Networks and Learning Systems

Structural Minimax Probability Machine

(2017) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

Graph Regularized Feature Selection with Data Reconstruction

(2016) Zhou Zhao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Robust Joint Feature Weights Learning Framework

(2016) Hui Yan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Self-representation based dual-graph regularized feature selection clustering

(2016) Ronghua Shang et al.   NEUROCOMPUTING

Efficient nonconvex sparse group feature selection via continuous and discrete optimization

(2015) Shuo Xiang et al.   ARTIFICIAL INTELLIGENCE

Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control

(2015) Zechao Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Incremental learning for ν-Support Vector Regression

(2015) Bin Gu et al.   NEURAL NETWORKS

Deep sparse feature selection for computer aided endoscopy diagnosis

(2015) Yang Cong et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Incremental Support Vector Learning for Ordinal Regression

(2015) Bin Gu et al.   IEEE Transactions on Neural Networks and Learning Systems

A unified algorithm for mixed $$l_{2,p}$$ l 2 , p -minimizations and its application in feature selection

(2014) Liping Wang et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Locality and similarity preserving embedding for feature selection

(2013) Xiaozhao Fang et al.   NEUROCOMPUTING

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

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

Sparse group LASSO based uncertain feature selection

(2013) Zongxia Xie et al.   International Journal of Machine Learning and Cybernetics

Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection

(2012) Zhigang Ma et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

(2012) Shiming Xiang et al.   IEEE Transactions on Neural Networks and Learning Systems

Constrained Nonnegative Matrix Factorization for Image Representation

(2011) Haifeng Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Noise reduction in microarray gene expression data based on spectral analysis

(2011) Vivian T. Y. Tang et al.   International Journal of Machine Learning and Cybernetics

Null space based feature selection method for gene expression data

(2011) Alok Sharma et al.   International Journal of Machine Learning and Cybernetics

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

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

An efficient gene selection technique for cancer recognition based on neighborhood mutual information

(2010) Qinghua Hu et al.   International Journal of Machine Learning and Cybernetics

Supervised feature selection by clustering using conditional mutual information-based distances

(2009) José Martínez Sotoca et al.   PATTERN RECOGNITION

Sparsest solutions of underdetermined linear systems via ℓq-minimization for 0<q⩽1

(2008) Simon Foucart et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Feature selection with dynamic mutual information

(2008) Huawen Liu et al.   PATTERN RECOGNITION