Unsupervised feature selection via graph matrix learning and the low-dimensional space learning for classification

This publication has 22 references indexed in Scilit:

• A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
  Medical Image Analysis, 2017
• Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
  IEEE Transactions on Neural Networks and Learning Systems, 2016
• Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming
  IEEE Transactions on Geoscience and Remote Sensing, 2015
• Block-Row Sparse Multiview Multilabel Learning for Image Classification
  IEEE Transactions on Cybernetics, 2015
• Unsupervised feature selection by regularized self-representation
  Pattern Recognition, 2015
• Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation
  Neural Processing Letters, 2014
• A Sparse Embedding and Least Variance Encoding Approach to Hashing
  IEEE Transactions on Image Processing, 2014
• Image classification with manifold learning for out-of-sample data
  Signal Processing, 2013
• Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
  Journal of the American Statistical Association, 2012
• A Global Geometric Framework for Nonlinear Dimensionality Reduction
  Science, 2000