Graph regularized locally linear embedding for unsupervised feature selection

Robust neighborhood embedding for unsupervised feature selection

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

Double graphs-based discriminant projections for dimensionality reduction

(2020) Jianping Gou et al.   NEURAL COMPUTING & APPLICATIONS

Weighted discriminative collaborative competitive representation for robust image classification

(2020) Jianping Gou et al.   NEURAL NETWORKS

Unsupervised feature selection with adaptive multiple graph learning

(2020) Peng Zhou et al.   PATTERN RECOGNITION

A new graph-preserving unsupervised feature selection embedding LLE with low-rank constraint and feature-level representation

(2019) Xiaohong Han et al.   ARTIFICIAL INTELLIGENCE REVIEW

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

Unsupervised feature selection based extreme learning machine for clustering

(2019) Jichao Chen et al.   NEUROCOMPUTING

Discriminative globality and locality preserving graph embedding for dimensionality reduction

(2019) Jianping Gou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection

(2018) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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

(2018) Kangfeng Zheng et al.   PATTERN RECOGNITION

Feature Selection With ℓ2,1-2 Regularization

(2018) Yong Shi et al.   IEEE Transactions on Neural Networks and Learning Systems

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

Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression

(2018) Xiaojun Chen et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition

(2017) Chao Yao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Unsupervised feature selection with graph learning via low-rank constraint

(2017) Guangquan Lu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Graph self-representation method for unsupervised feature selection

(2017) Rongyao Hu et al.   NEUROCOMPUTING

Self-representation and PCA embedding for unsupervised feature selection

(2017) Yonghua Zhu et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria

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

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

(2017) Xiaofeng Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming

(2015) Jiayi Ma et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition

(2015) Yahong Han et al.   IEEE Transactions on Neural Networks and Learning Systems

Online Feature Selection and Its Applications

(2013) Jialei Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

(2013) Zechao Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification

(2013) Xin Liu et al.   NEUROIMAGE

Global and Local Structure Preservation for Feature Selection

(2013)   IEEE Transactions on Neural Networks and Learning Systems

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

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

A Group Incremental Approach to Feature Selection Applying Rough Set Technique

(2012) Jiye Liang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Active Learning Based on Locally Linear Reconstruction

(2011) Lijun Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

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

Feature Selection and Kernel Learning for Local Learning-Based Clustering

(2010) Hong Zeng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE