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Computer Based Optimization Methods

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Preview of Learning Mahalanobis Metric for Large Margin kNN
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Learning Mahalanobis Metric for Large Margin kNN (2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf)

290 KBKilian Q. Weinberger, John Blitzer, Lawrence K. SaulEN 8 pages
Learns Mahalanobis distance metric for k-NN classification, ensuring same-class neighbors and large inter-class margins. Improves kNN accuracy, e.g., 1.3% test error on MNIST.
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