This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
This paper describes an experiment to augment SCORM manifests with adaptive links using AuldLinky in order to promote content reusability, interoperability and personalized elearn...
Nor Aniza Abdullah, Christopher Bailey, Hugh C. Da...
Traditional web link-based ranking schemes use a single score to measure a page’s authority without concern of the community from which that authority is derived. As a result, a...
In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from th...
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...