Locality and similarity preserving embedding for feature selection

This publication has 34 references indexed in Scilit:

• EVALUATE DISSIMILARITY OF SAMPLES IN FEATURE SPACE FOR IMPROVING KPCA
  International Journal of Information Technology & Decision Making, 2011
• LPP solution schemes for use with face recognition
  Pattern Recognition, 2010
• Sparsity preserving projections with applications to face recognition
  Pattern Recognition, 2010
• Learning with $\ell ^{1}$-graph for image analysis
  IEEE Transactions on Image Processing, 2009
• Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
  The Lancet, 2005
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  Neural Computation, 2003
• Nonlinear Dimensionality Reduction by Locally Linear Embedding
  Science, 2000
• A Global Geometric Framework for Nonlinear Dimensionality Reduction
  Science, 2000
• Novel methods for subset selection with respect to problem knowledge
  IEEE Intelligent Systems and their Applications, 1998
• Using mutual information for selecting features in supervised neural net learning
  IEEE Transactions on Neural Networks, 1994