Metric Learning Toolbox (Fudan 2017 Graduation Thesis)

Paper:

download here (in Chinese)

Supporting materials in MATLAB:

  1. code used in the paper

  2. data used in the paper

  3. MNIST (Hinton 2006), a Neural Network Dimensionality Reduction Model applied to the ‘‘MNIST’’ handwritten data

  4. lmnn, by Kilian Q. Weinberger, John C. Blitzer and Lawrence K. Saul

  5. Manifold learning toolbox, inlcuding:

    1. mani.m by Wittman, UCLA

    2. dtrtoolbox by Laurens van der Maaten, Delft U

    3. Gatesby's toolbox

  6. simplemkl, MultiKernel Learning

All rights deserved to the original authors!

If you have any questions, please feel free to contact cqfu13@fudan.edu.cn.