Classifier fusion is considered as one of the best strategies for improving performances upon general purpose classification systems. On the other hand, fusion strategy space stro...
Wael Ben Soltana, Mohsen Ardabilian, Liming Chen, ...
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
: Compression is the process of representing information in a compact form so as to reduce the bit rate for transmission or storage while maintaining acceptable fidelity or data qu...
Graphs are widely used to model complicated data semantics in many applications. In this paper, we aim to develop efficient techniques to retrieve graphs, containing a given query...
Efficient bandwidth allocation and low delays remain important goals, expecially in high-speed networks. Existing end-to-end congestion control schemes (such as TCP+AQM/RED) have s...
A. Durresi, P. Kandikuppa, M. Sridharan, S. Chella...