Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
A phase synchronizationmethod, which provides non-uniform frequency offset compensation needed for wideband OFDM [1], is coupled with low-complexity channel estimation in the time...
This paper proposes a novel adaptive algorithm based on a new soft-regulator (σ, ρ, λ) for concurrent multimedia flows at end hosts. Our algorithm has the following features: ...
Abstract. Publish/subscribe model is appropriate in many push based data dissemination applications. This paper presents cost model for publish/subscribe systems, analyze its perfo...
Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, ...
We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past perfo...