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» Learning Generic Prior Models for Visual Computation
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ICCV
2007
IEEE
15 years 11 months ago
Linear Predictors for Fast Simultaneous Modeling and Tracking
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
Liam Ellis, Nicholas Dowson, Jiri Matas, Richard B...
ICML
2008
IEEE
15 years 10 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
ACE
2004
153views Education» more  ACE 2004»
14 years 11 months ago
Developing and Implementing a Professional Doctorate in Computing
This paper describes the processes involved in developing and implementing the Doctor of Computing (DComp) programme at UNITEC Institute of Technology. It is the first professiona...
Donald Joyce, Alison Young
SIGCSE
2008
ACM
153views Education» more  SIGCSE 2008»
14 years 8 months ago
A cross-domain visual learning engine for interactive generation of instructional materials
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
K. R. Subramanian, T. Cassen
CVPR
2008
IEEE
15 years 11 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah