Feature selection by combining subspace learning with sparse representation

Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis

(2015) Xiaofeng Zhu et al.   Brain Imaging and Behavior

GLocal tells you more: Coupling GLocal structural for feature selection with sparsity for image and video classification

(2014) Yan Yan et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A Sparse Embedding and Least Variance Encoding Approach to Hashing

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

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

(2014) Xiaofeng Zhu et al.   NEUROIMAGE

A NEW SUPERVISED FEATURE SELECTION METHOD FOR PATTERN CLASSIFICATION

(2012) Huawen Liu et al.   COMPUTATIONAL INTELLIGENCE

Video-to-Shot Tag Propagation by Graph Sparse Group Lasso

(2012) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON MULTIMEDIA

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

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

(2011) Qinbao Song et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Missing Value Estimation for Mixed-Attribute Data Sets

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

Sparsity preserving projections with applications to face recognition

(2009) Lishan Qiao et al.   PATTERN RECOGNITION