博文
key works on manifold learning & dimension reduction
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(1) LLE (Prof.Roweis, Unfortunately, he passes away): Nonlinear dimensionality reduction by locally linear embedding
(4) neural network (Prof. Geoffrey Hinton): Reducing the dimensionality of data with neural networks
(5) survey paper (Prof. Yoshua Bengio): Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
https://blog.sciencenet.cn/blog-284987-642938.html
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