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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
	Metric Learning for Individual Fairness (FORC Foundations of Responsible Computing) View
	Fast Graph Metric Learning via Gershgorin Disc Alignment (Gene Cheung) View
	XLDB2012: Introducing the Big Data Benchmark Community (XLDBConf) View
	Build your custom metric! (Mahalanobis + LMNN) (DataGoose) View
	Deep Metric Learning for Open World Semantic Segmentation (Jun CEN) View