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» Input Modeling Using Quantile Statistical Methods
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BMVC
2001
13 years 10 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
LREC
2010
152views Education» more  LREC 2010»
13 years 9 months ago
English-Spanish Large Statistical Dictionary of Inflectional Forms
The paper presents an approach for constructing a weighted bilingual dictionary of inflectional forms using as input data a traditional bilingual dictionary, and not parallel corp...
Grigori Sidorov, Alberto Barrón-Cedeñ...
ANSS
2007
IEEE
14 years 2 months ago
Failure Prediction in Computational Grids
Accurate failure prediction in Grids is critical for reasoning about QoS guarantees such as job completion time and availability. Statistical methods can be used but they suffer f...
Woochul Kang, Andrew S. Grimshaw
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
ICCV
2007
IEEE
14 years 9 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly