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» Input Modeling Using Quantile Statistical Methods
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ECML
2001
Springer
15 years 6 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ETVC
2008
15 years 3 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
119
Voted
ICCD
2008
IEEE
139views Hardware» more  ICCD 2008»
15 years 11 months ago
Probabilistic error propagation in logic circuits using the Boolean difference calculus
- A gate level probabilistic error propagation model is presented which takes as input the Boolean function of the gate, the signal and error probabilities of the gate inputs, and ...
Nasir Mohyuddin, Ehsan Pakbaznia, Massoud Pedram
WSC
2004
15 years 3 months ago
Applying Statistical Control Techniques to Air Traffic Simulations
While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...
Kirk C. Benson, David Goldsman, Amy R. Pritchett
139
Voted
IPMI
2007
Springer
15 years 8 months ago
Spine Detection and Labeling Using a Parts-Based Graphical Model
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...
Stefan Schmidt, Jörg H. Kappes, Martin Bergth...