Information & computer science publications
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Automatic Blood Vessel Localization in Small Field of View Eye Images
We present an automatic technique for localizing vessels in small field of view images using multi-scale matched filters. We also estimate local vessel properties - width and orientation - along…
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First Incoherent Scatter Radar Observations of Ionospheric Heatingon the Second Electron Gyro-Harmonic
We report first results from a unique experiment performed at the HIPAS ionospheric modification facility in conjunction with the Poker Flat incoherent scatter radar in Alaska.
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Active Botnet Probing to Identify Obscure Command and Control Channels
We consider the problem of identifying obscure chat-like botnet command and control (C & C) communications, which are indistinguishable from human-human communication using traditional signature-based techniques.
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Gaussian Process Learning for Cyber-Attack Early Warning
We present a framework to estimate the relevance of each network with respect to each network. In particular, we model each attacker's relevance as a function over the networks.
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Recognition and Volume Estimation of Food Intake Using a Mobile Device
We present a system that improves accuracy of food intake assessment using computer vision techniques.
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Monocular Structure from Motion for Near to Long Ranges
This paper describes a sensing system for estimating range and detecting the shape of objects from a few meters to a few kilometers away.
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Inside Risks: Reflections on Conficker
An insider's view of the analysis and implications of the Conficker conundrum.
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Pedestrian Detection with Depth-Guided Structure Labeling
We propose a principled statistical approach for using 3D information and scene context to reduce the number of false positives in stereo based pedestrian detection.
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Document Logic: Risk Analysis of Business Processes Through Document Authenticity
Document Logic is a simple yet powerful framework to infer risks in business processes.
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Action Exemplar Based Real-Time Action Detection
We propose a real-time action detection system based on a novel action representation and an effective learning method with a small training set. We represent actions with a new feature…
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An anticorrelation kernel for subsystem training in multiple classifier systems
We present a method for training support vector machine (SVM)-based classification systems for combination with other classification systems designed for the same task.
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VideoTrek: A Vision System for a Tag-Alone Robot
We present a system that combines multiple visual navigation techniques to achieve GPS-denied, non-line-of-sight SLAM capability for heterogeneous platforms.