Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
This paper describes recent advances in hidden Markov model (HMM) based OCR for machine-printed Arabic documents. A combination of scriptindependent and script-specific techniques...
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by ...
As deep submicron technologies are advanced, new challenges, such as power consumption and soft errors, are emerging. A naïve technique, which utilizes emerging multicore process...
This paper presents recent work on a multimedia retrieval project at Cambridge University and Olivetti Research Limited ORL. We present novel techniques that allow extremely rapid...
M. G. Brown, J. T. Foote, Gareth J. F. Jones, Kare...