In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
This paper describes SwarmArt, a collaborative project between computer science and art, which resulted in two installations of interactive art that incorporates swarm intelligenc...
Abstract. Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause cohere...
Carlos Fernandes, Vitorino Ramos, Agostinho C. Ros...
Abstract Virtual path management in dynamic networks poses a number of challenges related to combinatorial optimisation, fault and traffic handling. Ideally such management should ...
In the last few years, the advance of multimedia applications has prompted researchers to undertake the task of routing multimedia data through Manet. This task is rather difficul...
Abstract— The theory of promises describes policy governed services, in a framework of completely autonomous agents, which assist one another by voluntary cooperation alone. We p...
Autonomic computing has attracted large amount of attention as a novel computing paradigm in the past few years. In this paper, we explore the inherent accordance between autonomi...
Jin Wang, Brian J. d'Auriol, Young-Koo Lee, Sungyo...
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...