Today's networks become increasingly complex due to the presence of multiple radio access technologies (RATs) and various network layers.
We propose a classification test to discriminate Markov sources based on the joint string complexity.
We present application of data mining, and in particular, fuzzy ARTMAP neural networks, in classification of peer-to-peer (P2P) traffic in IP networks.
We present a framework that jointly learns and then uses multiple image windows for improved classification.
This paper investigates a 2-class classifier approach with the aim of improving the word verification performance.
We study the domain of competence of a set of popular classifiers, by means of a methodology that relates the classifier's behavior to problem complexity.
Current solutions for the delivery of streaming media over existing wireless networks typically rely on end-to-end feedback to help media servers adjust to changing channel conditions.
Streaming media services over wireless networks often exhibit poor quality because of the limitation of the end- to-end feedback they typically rely on.
The maximum sensitivity of a Michelson interferometer can be obtained by maintaining a stable phase bias pi/2 between the sensing beam and reference beam.
The fabrication and operation of the first cleaved-coupled- cavity (C(3)) semiconductor lasers with large cavity length ratios are described.
