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» Data Mining from Functional Brain Images
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CVPR
2006
IEEE
16 years 6 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ECCV
2010
Springer
15 years 9 months ago
Automatic Attribute Discovery and Characterization
It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes t...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 8 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
166
Voted
ICIP
2009
IEEE
16 years 5 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
111
Voted
FGR
2000
IEEE
114views Biometrics» more  FGR 2000»
15 years 9 months ago
Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation
We present an algorithm for estimation of head orientation, given cropped images of a subject’s head from any viewpoint. Our algorithm handles dramatic changes in illumination, ...
Ying Wu, Kentaro Toyama