We propose a principled approach to summarization of visual data (images or video) based
on optimization of a well-defined similarity measure. The problem we consider is re-targeting …

Knowledge about computer users is very beneficial for assisting them, predicting their future
actions or detecting masqueraders. In this paper, a new approach for creating and …

The proliferation of smart gadgets, appliances, mobile devices, PDAs and sensors has
enabled the construction of ubiquitous computing environments, transforming regular …

While the web contains many social websites, people are generally left in the dark about the
activities of other people traversing the web as a whole. In this paper, we explore the …

Abstract Knowledge about computer users is very beneficial for assisting them, predicting
their future actions or detecting masqueraders. In this paper, an approach for creating and …

Current search engines rely on centralized page ranking algorithms which compute page
rank values as single (global) values for each Web page. Recent work on topic-sensitive …

People's daily lives provide them with memories and records that they often want to review
later. They must expend time and effort to record these experiences manually for future …

In E-Learning environment, generating a Learning Path for the learner provides a
challenging work for researchers. Learning Path is a collection of different learning items …

This paper discusses an approach to the problem of annotating multimedia content. Our
approach provides annotation as metadata for indexing retrieval and semantic processing …

Knowledge about computer users is very beneficial for assisting them, predicting their future
actions or detecting masqueraders. In this paper, a new approach for creating and …