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» Input Modeling Using Quantile Statistical Methods
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99
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ICIP
2005
IEEE
15 years 8 months ago
Speckle modeling and reduction in synthetic aperture radar imagery
A new mathematical framework for modeling speckled imagery is introduced based on embedding the spatial correlation properties of speckled imagery, obtained from statistical optic...
Ousseini Lankoande, Majeed M. Hayat, Balu Santhana...
121
Voted
ISBI
2004
IEEE
16 years 3 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot
130
Voted
DAC
1996
ACM
15 years 6 months ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor
130
Voted
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 9 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
118
Voted
MICCAI
2005
Springer
16 years 3 months ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...