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UAI
1998
14 years 10 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
CISIS
2010
IEEE
15 years 2 months ago
Resilient Critical Infrastructure Management Using Service Oriented Architecture
—The SERSCIS project aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly...
Martin Hall-May, Mike Surridge
ICPR
2002
IEEE
15 years 10 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
91
Voted
ICMCS
2006
IEEE
133views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A Captcha Based on the Human Visual Systems Masking Characteristics
In this paper, a CAPTCHA is presented based on the masking characteristics of the Human Visual System (HVS). Knowing that noise can be masked by high activity regions and showing ...
Rony Ferzli, Rida A. Bazzi, Lina J. Karam
ATAL
2008
Springer
14 years 11 months ago
Role-based teamwork activity recognition in observations of embodied agent actions
Recognizing team actions in the behavior of embodied agents has many practical applications and had seen significant progress in recent years. One approach with proven results is ...
Linus J. Luotsinen, Ladislau Bölöni