A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Abstract: Graph clustering, which aims to divide nodes in the graph into several distinct clusters, is a fundamental yet challenging task. Benefiting from the powerful representation capability of ...
For the first time, an Earth observation satellite has found what it was looking for — on its own, without human analysts on the ground. The milestone, which occurred in April, marks the first ...
Abstract: The semi-supervised multiview clustering (MVC) methods based on non-negative matrix factorization (NMF) have attracted considerable attention due to their ability to utilize partial ...