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	8.5 David Thompson (Part 5): Metric Learning (caltech) View
	8.1 David Thompson (Part 1): Local Methods for Pattern Recognition (caltech) View
	8.3 David Thompson (Part 3): Feature Selection (caltech) View
	8.4 David Thompson (Part 4): Linear Dimensionality Reduction (caltech) View
	8.6 David Thompson (Part 6): Nonlinear Dimensionality Reduction: KPCA (caltech) View
	slade: a self-training framework for distance metric learning (Duan Jiali) View
	DIML: Towards Interpretable Deep Metric Learning with Structural Matching (Wenliang Zhao) View
	Metric Learning for Individual Fairness (FORC Foundations of Responsible Computing) View
	Deep Metric Learning for Open World Semantic Segmentation (Jun CEN) View
	Fast Graph Metric Learning via Gershgorin Disc Alignment (Gene Cheung) View