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» Learning Event Durations from Event Descriptions
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LREC
2008
133views Education» more  LREC 2008»
13 years 8 months ago
Acquiring Naturalistic Concept Descriptions from the Web
Many of the beliefs that one uses to reason about everyday entities and events are neither strictly true or even logically consistent. Rather, people appear to rely on a large bod...
Tony Veale, Yanfen Hao
CIVR
2007
Springer
14 years 27 days ago
Associating characters with events in films
The work presented here combines the analysis of a film’s audiovisual features with the analysis of an accompanying audio description. Specifically, we describe a technique fo...
Andrew Salway, Bart Lehane, Noel E. O'Connor
ICASSP
2011
IEEE
12 years 10 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
14 years 9 days ago
Automatic surveillance of the acoustic activity in our living environment
We report an experiment with an acoustic surveillance system comprised of a computer and microphone situated in a typical office environment. The system continuously analyzes the...
Aki Harma, Martin F. McKinney, Janto Skowronek
MOBISYS
2009
ACM
14 years 7 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...