It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper,we propose a WIreless Sensor Networks Ont...
We present the first spatially adaptive data structure that answers approximate nearest neighbor (ANN) queries to points that reside in a geometric space of any constant dimension...
Jonathan Derryberry, Don Sheehy, Maverick Woo, Dan...
: The discovery of the ”right” ontology or ontology part is a central ingredient for effective ontology re-use. We present an approach for supporting a form of adaptive re-use...
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
We revisit the topics of near-field adaptive beamforming and source localization following an alternative approach based on a spatiotemporal spectral representation of the acoust...