Dynamic graph learning for spectral feature selection

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

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

Graph PCA Hashing for Similarity Search

(2017) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON MULTIMEDIA

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

(2017) Xiaofeng Zhu et al.   MEDICAL IMAGE ANALYSIS

Graph self-representation method for unsupervised feature selection

(2017) Rongyao Hu et al.   NEUROCOMPUTING

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

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

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

(2016) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Unsupervised spectral feature selection with l1-norm graph

(2016) Xiaodong Wang et al.   NEUROCOMPUTING

Block-Row Sparse Multiview Multilabel Learning for Image Classification

(2016) Xiaofeng Zhu et al.   IEEE Transactions on Cybernetics

A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction

(2015) Xiaoshuang Shi et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Penalized partial least square discriminant analysis with ℓ1-norm for multi-label data

(2015) Huawen Liu et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

A Sparse Embedding and Least Variance Encoding Approach to Hashing

(2014) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A feasible method for optimization with orthogonality constraints

(2012) Zaiwen Wen et al.   MATHEMATICAL PROGRAMMING

Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis

(2012) Xiaofeng Zhu et al.   PATTERN RECOGNITION

Self-taught dimensionality reduction on the high-dimensional small-sized data

(2012) Xiaofeng Zhu et al.   PATTERN RECOGNITION

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

(2010) Feiping Nie et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Missing Value Estimation for Mixed-Attribute Data Sets

(2010) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Iteratively reweighted least squares minimization for sparse recovery

(2009) Ingrid Daubechies et al.   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

Hybrid huberized support vector machines for microarray classification and gene selection

(2008) L. Wang et al.   BIOINFORMATICS

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support

(2008) Xiaowei Yan et al.   EXPERT SYSTEMS WITH APPLICATIONS