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» Handling variations and uncertainties
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IVC
2002
97views more  IVC 2002»
13 years 7 months ago
A neural approach to zoom-lens camera calibration from data with outliers
Camera systems with zoom lenses are inherently more useful than those with passive lenses due to their flexibility and controllability. However, their calibration raises several c...
Moumen T. Ahmed, Aly A. Farag
ICIP
2010
IEEE
13 years 5 months ago
Maximizing intra-individual correlations for illumination-insensitive face recognition
Illumination variation has been one of the most intractable problems in face recognition and many approaches have been proposed to handle illumination problem in the last decades ...
Hu Han, Shiguang Shan, Xilin Chen, Wen Gao
MICCAI
2010
Springer
13 years 5 months ago
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R...
JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
JMLR
2010
156views more  JMLR 2010»
13 years 2 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...