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» Modelling Smooth Paths Using Gaussian Processes
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ECCV
2004
Springer
14 years 12 months ago
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
Étienne Mémin, Elise Arnaud
ICPR
2004
IEEE
14 years 11 months ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage
ICCV
2005
IEEE
14 years 3 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
TACAS
2010
Springer
160views Algorithms» more  TACAS 2010»
13 years 8 months ago
Efficient Detection of Errors in Java Components Using Random Environment and Restarts
Software model checkers are being used mostly to discover specific types of errors in the code, since exhaustive verification of complex programs is not possible due to state explo...
Pavel Parizek, Tomás Kalibera
CAD
2006
Springer
13 years 10 months ago
Internal architecture design and freeform fabrication of tissue replacement structures
Modeling, design and fabrication of tissue scaffolds with intricate architecture, porosity and pore size for desired tissue properties presents a challenge in tissue engineering. ...
Binil Starly, Wing Lau, Tom Bradbury, Wei Sun