Linear Discriminant Dimensionality Reduction
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten
Matching pursuit algorithms in machine learning
Kernel Methods
Bayesian or Frequentist, Which Are You?
Minimum Neighbor Distance Estimators of Intrinsic Dimension
Biomedical Signal and Image Processing
Dimensionality Reduction
Dynamic Asset Allocation for Bivariate Enhanced Index Tracking using Sparse PLS
Learning Representations: A Challenge for Learning Theory