In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Scheduling of multiple parallel machinesin the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteedto pro...
Transpose-and-Cache Branch-and-Bound (TCBB) has shown promise in solving large single machine quadratic penalty problems. There exist other classes of single machine job sequencin...
: The attempt to provide QoS in IP networks has raised some interesting questions on how a service can be provided to meet the application requirements while obeying the network re...
Biswajit Nandy, Nabil Seddigh, A. S. J. Chapman, J...
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...