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In this paper, we document the face detection competition that we have organized in conjunction with the ISDA 2010 conference. The objective was to compare different face detection engines performance on new unpublished datasets. We believe researchers can benefit from this competition by identifying strong and weak areas in their algorithms relative to others. We have also identified, based on the...
Situation awareness is a promising approach to recommend to a mobile user the most suitable resources for a specific situation. However, determining the correct user situation is not a simple task since users have different habits that may affect the way in which the situations arise. Thus, an appropriate tuning aimed at adapting the situation recognizer to the specific user is desirable to make a...
This paper considers the problem of the definition of adaptation strategies at a high level. It presents two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. An experiment in the e-learning domain has been conducted with a group of volunteers...
An evaluation study performed in Arabic language on the five web search engines Araby, Ayna, Google, MSN and Yahoo aimed to compare how good these search engines can satisfy the information needs of native Arab users on the internet in their mother tongue. The top ten search results for fifty randomly selected search queries and the descriptions of these results in the search results list were evaluated...
In recent years to sustain competitive advantages, manufacturing enterprises strive for improvements in their monitoring and control of enterprise processes. Hence in the current contribution, an event driven software framework for enabling enterprise integration (EI) and enhancing control of enterprise processes is presented. The proposed framework is composed of four main components: First, a data...
To recognize unlimited set of handwritten Arabic words, an efficient segmentation algorithm is needed to segment these cursive words into a limited set of primal graphemes. We propose a rule-based segmentation algorithm that segments cursive words into graphemes through collecting special feature points from the word skeleton. The development of this algorithm is motivated by the need to solve problems...
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