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» Inferring High-Level Behavior from Low-Level Sensors
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HUC
2003
Springer
14 years 4 months ago
Inferring High-Level Behavior from Low-Level Sensors
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...
AAAI
2004
14 years 17 days ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
ICPR
2008
IEEE
14 years 5 months ago
Intuitive event modeling for personalized behavior monitoring
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
Ahmed Azough, Alexandre Delteil, Fabien De Marchi,...
SEMWEB
2004
Springer
14 years 4 months ago
Inferring Data Transformation Rules to Integrate Semantic Web Services
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
Bruce Spencer, Sandy Liu
AMI
2009
Springer
14 years 5 months ago
SAGE: A Logical Agent-Based Environment Monitoring and Control System
Abstract. We propose SAGE, an agent-based environment monitoring and control system based on computation logic. SAGE uses forward chaining deductive inference to map low level sens...
Krysia Broda, Keith Clark, Rob Miller 0002, Alessa...