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» Coarse-to-Fine Statistical Shape Model by Bayesian Inference
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JMLR
2010
134views more  JMLR 2010»
13 years 5 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
ICEIS
2000
IEEE
14 years 3 months ago
A User-Friendly Development Tool for Medical Diagnosis Based on Bayesian Networks
: This paper presents a web supported development tool specific for medical diagnosis, based on Bayesian networks. The proposed system provides a user-friendly interface, giving th...
Isabel Milho, Ana L. N. Fred
ICPR
2004
IEEE
14 years 12 months ago
Image Segmentation by Shape Particle Filtering
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...
Mads Nielsen, Marleen de Bruijne
NIPS
2003
14 years 6 days ago
A Computational Geometric Approach to Shape Analysis in Images
We present a geometric approach to statistical shape analysis of closed curves in images. The basic idea is to specify a space of closed curves satisfying given constraints, and e...
Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric ...
PAMI
2007
97views more  PAMI 2007»
13 years 10 months ago
Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models
As biometric authentication systems become more prevalent, it is becoming increasingly important to evaluate their performance. The current paper introduces a novel statistical me...
Sinjini Mitra, Marios Savvides, Anthony Brockwell