Recent imaging studies suggest that object knowledge is stored in the brain as a distributed network of many cortical areas. Motivated by these observations, we study a multi-modu...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
This paper intends to study the characteristics of VBR MPEG sources and performs models for their traffic behaviour. Our analysis focuses on long-time MPEG video films, approximat...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Geor...
A new technique to locate content-representing words for a given document image using representation of character shapes is described. A character shape code representation define...
The performance of host communication subsystems is an important research topic in computer networks.1 Performance metrics such as throughput, delay, and packet loss are important...