Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
Optimal index assignment of multiple description lattice vector quantizer (MDLVQ) can be posed as a large-scale linear assignment problem. But is this expensive algorithmic approa...
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Multiple memory module architecture offers higher performance by providing potentially doubled memory bandwidth. Two key problems in gaining high performance in this kind of archi...
We consider transfer of video frames over a time-varying wireless channel. When the channel is good, the transmitter can send frames at a higher rate than the receiver can consume...
Carri W. Chan, John G. Apostolopoulos, Yan Li, Nic...