X. Li
1 Papers
X. Li is an academic researcher. The author has contributed to research in topics: Supervised learning & Semidefinite embedding. The author has co-authored 1 publications.
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Papers
New supervised locally linear embedding for dimensionality reduction using distance metric learning
TL;DR: A new supervised dimensionality reduction method based on Locally Linear Embedding and Distance Metric Learning is proposed based on a linear discriminant transformation learnt from distance metric learning to reduce the dimensionality of data points.