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ECML
2001
Springer
14 years 20 hour 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 speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ISQED
2007
IEEE
146views Hardware» more  ISQED 2007»
14 years 1 months ago
Parameter-Variation-Aware Analysis for Noise Robustness
This paper studies the impact of variability on the noise robustness of logic gates using noise rejection curves (NRCs). NRCs allow noise pulses to be modeled using magnitude-dura...
Mosin Mondal, Kartik Mohanram, Yehia Massoud
SIAMSC
2010
130views more  SIAMSC 2010»
13 years 5 months ago
Discrete-Ordinate Discontinuous Galerkin Methods for Solving the Radiative Transfer Equation
The radiative transfer equation (RTE) occurs in a wide variety of applications. In this paper, we study discrete-ordinate discontinuous Galerkin methods for solving the RTE. The nu...
Weimin Han, Jianguo Huang, Joseph A. Eichholz
ISBI
2008
IEEE
14 years 8 months ago
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
Philippe Ciuciu, Thomas Vincent, Anne-Laure Fouque...
ICCV
1999
IEEE
14 years 9 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer