@inproceedings {pub4143,
	title = {Locally Adaptive Nearest Neighbours},
	author = {Jan Philip Goepfert AND Barbara Hammer AND Heiko Wersing},
	year = {2020},
	month = {April},
	abstract = {When training automated systems, it has been shown to be beneficialto adapt the representation of data by learning a problem-specific metric.This metric is global. We extend this idea and, for the widely used familyof k nearest neighbors algorithms, develop a method that allows learninglocallyadaptive metrics. To demonstrate important aspects of how ourapproach works, we conduct a number of experiments on synthetic datasets, and we show its usefulness on real-world benchmark data set.},
	publisher = {l6doc},
	booktitle = {European Symposium on Artificial Neural Networks ESANN}
}