Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A logic for reasoning about security
ACM Transactions on Computer Systems (TOCS)
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dual-State Parametric Eye Tracking
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Communications of the ACM - The disappearing computer
Generate context metadata based on biometric system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
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As the global information infrastructure is becoming more and more ubiquitous, digital business transactions are increasingly performed using a variety of mobile devices and across multiple communication channels. In this new paradigm of pervasive access, a much richer context representation regarding both users and the resources they access could be available to applications, potentially supporting highly expressive and intelligent policies regulating access and fruition. On the other hand, checking advanced context-related information when evaluating a policy involves several unsolved research issues, often due to underlying technology. Predicates representing users position and posture (e.g., as shown in a video feed), for instance, are semantically different from traditional ones inasmuch their outcome is both highly dynamic and uncertain. The aim of this work is twofold: (i) presenting some of our recent work in dynamic context representation, including data streams encoding users location and video images. (ii) discussing the integration of dynamic context representation within current approaches to negotiated access control in a mobile environment.