Ville Oskari Hyvönen

A Multilabel Classification Framework for Approximate Nearest Neighbor Search

Both supervised and unsupervised machine learning algorithms have been used to learn partition-based index structures for approximate nearest neighbor (ANN) search. Existing supervised algorithms formulate the learning task as finding a partition in which the nearest neighbors of a training set poin…