Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming to distributed-memory platforms by automatic translation of OpenMP programs to ...
Social networks are popular platforms for interaction, communication and collaboration between friends. Researchers have recently proposed an emerging class of applications that l...
Christo Wilson, Bryce Boe, Alessandra Sala, Krishn...
Securing multicast communications in ad hoc networks has become one of the most challenging research directions in the areas of wireless networking and security. This is especiall...
Giovanni Di Crescenzo, Maria Striki, John S. Baras