We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Web-based digital libraries have sped up the process that scholars use to find new, important research papers. Unfortunately, current digital libraries are limited by their inade...
Modern techniques for distributed information retrieval use a set of documents sampled from each server, but these samples have been underutilised in server selection. We describe...
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
This paper introduces an open access wideband multiantenna wireless testbed. The testbed is configured as a four transmit antenna by four receive antenna system based on software...