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» Selectivity Estimation using Probabilistic Models
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BMVC
1998
15 years 3 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones
116
Voted
ICIP
2008
IEEE
16 years 4 months ago
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines
In this paper we demonstrate the effectiveness of reference (or atlas)-based non-rigid registration to the segmentation of medical and biological imagery. In particular we introdu...
Luca Bertelli, Pratim Ghosh, B. S. Manjunath, Fr&e...
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
14 years 9 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu
118
Voted
ESANN
2003
15 years 3 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
154
Voted
IJCV
2000
180views more  IJCV 2000»
15 years 2 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe