Information & computer science publications
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Directions in Network-Based Security Monitoring
The author discusses differences between traditional network intrusion detection and new techniques, and highlights a new freely available tool called BotHunter.
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BLADE: Slashing the Invisible Channel of Drive-By Download Malware
We present BLADE (Block All Drive-by download Exploits), a browser-independent system that seeks to eliminate the threat of drive-by downloads, one of the dominant means through which mass malware infections…
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Distributed Multi-Sensor Fusion for Improved Collaborative GPS-Denied Navigation
This paper addresses the problem of determining high accuracy absolute and relative 3-D positions of mobile sensor network nodes by fusing inertial and radio frequency (RF) ranging measurements to support…
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Like an Intuitive and Courteous Butler: a Proactive Personal Agent for Task Management
We characterize the properties desired of proactive behaviour by a personal assistant agent in the realm of task management, and present an extended agent cognition model that features a meta-level…
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Cognitive Radio Policy Language and Policy Engine
The most comprehensive book on cognitive radio technologies - bringing together everything a wireless engineer needs to know in this important and growing field.
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Constraint-Muse: a Soft-Constraint Based System for Music Therapy
We have developed a prototype tool for interactive music creation, called Constraint Muse, that uses monoidal soft constraints to ensure that a dynamically generated melody harmonizes with input from other…
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Reasoning About Resources and Hierarchical Tasks Using OWL and SWRL
We describe our novel ways of using SWRL and discuss its limitations as well as extensions to it that we found necessary or desirable.
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ALICE@Home: Distributed Framework for Detecting Malicious Sites
In this work, we describe alice@home, a distributed approach to overcoming multiple methods of malware infection and actively identifying malware distribution sites.
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Action Video Retrieval Based on Atomic Action Vocabulary
We propose an efficient action retrieval system that is based on a novel action representation and an effective video matching method.
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Vision-Based Perception for Autonomous Urban Navigation
We describe a low-cost vision-based sensing and positioning system that enables intelligent vehicles of the future to autonomously drive in an urban environment with traffic.
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Weakly Supervised Training for Parsing Mandarin Broadcast Transcripts
We compare co-training to self-training, and our results show that performance using co-training is significantly better than with self-training and both co-training and self-training with a small seed labeled corpus…
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How Do We Certify for the Unexpected?
We propose that safety cases based on explicit goals, evidence, and argument provide a firmer foundation for assurance, and a framework within which it is possible to address the rare…