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VIS
2004
IEEE
145views Visualization» more  VIS 2004»
14 years 9 months ago
Compression, Segmentation, and Modeling of Large-Scale Filamentary Volumetric Data
We describe a method for processing large amounts of volumetric data collected from a Knife Edge Scanning Microscope (KESM). The neuronal data that we acquire consists of thin, br...
Bruce H. McCormick, David Mayerich, John Keyser, P...
BMCBI
2010
156views more  BMCBI 2010»
13 years 8 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
JCNS
2000
165views more  JCNS 2000»
13 years 8 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
CGF
2010
139views more  CGF 2010»
13 years 3 months ago
Visualization of Large-Scale Urban Models through Multi-Level Relief Impostors
In this paper, we present an efficient approach for the interactive rendering of large-scale urban models, which can be integrated seamlessly with virtual globe applications. Our ...
Carlos Andújar, Pere Brunet, Antoni Chica, ...
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 8 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas