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» An optical flow probabilistic observation model for tracking
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AVI
2010
13 years 9 months ago
Showtime: increasing viewer understanding of dynamic network visualisations
Visualisations of dynamic networks are animated over time, reflecting changes in the underlying data structure. As viewers of these visualisations, it is up to us to accurately pe...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
ICPR
2006
IEEE
14 years 8 months ago
Recognizing Facial Expressions by Tracking Feature Shapes
Reliable facial expression recognition by machine is still a challenging task. We propose a framework to recognise various expressions by tracking facial features. Our method uses...
Atul Kanaujia, Dimitris N. Metaxas
AIPS
2007
13 years 10 months ago
Using Adaptive Priority Weighting to Direct Search in Probabilistic Scheduling
Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized ...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
SENSYS
2006
ACM
14 years 1 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
ICMI
2009
Springer
138views Biometrics» more  ICMI 2009»
14 years 2 months ago
Dialog in the open world: platform and applications
We review key challenges of developing spoken dialog systems that can engage in interactions with one or multiple participants in relatively unconstrained environments. We outline...
Dan Bohus, Eric Horvitz