Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Malicious traffic from self-propagating worms and denialof-service attacks constantly threatens the everyday operation of Internet systems. Defending networks from these threats d...
In open distributed multi-agent systems, agents often coordinate using standardized agent communications. Thus, representing agent conversations is an important aspect of multi-age...
CSP was originally introduced as a parallel programming language in which sequential imperative processes execute concurrently and communicate by synchronized input and output. The...