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» Embedding Heterogeneous Data Using Statistical Models
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ENVSOFT
2007
54views more  ENVSOFT 2007»
15 years 16 days ago
Evaluation of landscape and instream modeling to predict watershed nutrient yields
The project goal was to loosely couple the SWAT model and the QUAL2E model and compare their combined ability to predict total phosphorus (TP) and NO3-N plus NO2-N yields to the a...
K. W. Migliaccio, I. Chaubey, B. E. Haggard
TMI
2002
96views more  TMI 2002»
15 years 6 days ago
Imaging of spatiotemporal coincident states by DC optical tomography
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
Harry L. Graber, Yaling Pei, Randall L. Barbour
98
Voted
MICCAI
2003
Springer
16 years 1 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
IJCNN
2007
IEEE
15 years 6 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
101
Voted
CCS
2007
ACM
15 years 6 months ago
Improving vulnerability discovery models
Security researchers are applying software reliability models to vulnerability data, in an attempt to model the vulnerability discovery process. I show that most current work on t...
Andy Ozment