Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping approach applied on a parametric coarse grained reconfigurable array architect...
Grigoris Dimitroulakos, Michalis D. Galanis, Const...
AUSNet is a functional network of autonomous undersea vehicles. We present two novel algorithms to enhance AUSNet. In live inwater testing, a packet queueing problem in which stal...
Matthew M. Haag, Emmanuel Agu, Rick Komerska, Stev...
In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses the "fat-factor" which provides a simple ...
Caetano Traina Jr., Agma J. M. Traina, Bernhard Se...
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...