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» Modelling Smooth Paths Using Gaussian Processes
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MVA
2010
206views Computer Vision» more  MVA 2010»
13 years 5 months ago
Estimating the motion of plant root cells from in vivo confocal laser scanning microscopy images
Images of cellular structures in growing plant roots acquired using confocal laser scanning microscopy (CLSM) have some unusual properties that make motion estimation challenging....
Timothy J. Roberts, Stephen J. McKenna, Cheng-Jin ...
ICIP
2010
IEEE
13 years 8 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
ICASSP
2011
IEEE
13 years 1 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
WSC
2007
14 years 14 days ago
Measuring manufacturing throughput using takt time analysis and simulation
This paper is motivated by a case study performed at a company that manufactures two main types of customized products. In an effort to significantly increase their throughput cap...
Jun Duanmu, Kevin Taaffe
ICML
2009
IEEE
14 years 11 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani