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» Bootstrap Percolation in High Dimensions
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CPC
2010
76views more  CPC 2010»
13 years 2 months ago
Bootstrap Percolation in High Dimensions
József Balogh, Béla Bollobás,...
SIGGRAPH
2010
ACM
13 years 9 months ago
Manifold bootstrapping for SVBRDF capture
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yan...
COMPLEXITY
2006
144views more  COMPLEXITY 2006»
13 years 5 months ago
BML revisited: Statistical physics, computer simulation, and probability
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...
Raissa M. D'Souza
TCBB
2008
108views more  TCBB 2008»
13 years 4 months ago
Statistical Characterization of Protein Ensembles
When accounting for structural fluctuations or measurement errors, a single rigid structure may not be sufficient to represent a protein. One approach to solve this problem is to r...
Diego Rother, Guillermo Sapiro, Vijay Pande
BIOINFORMATICS
2005
151views more  BIOINFORMATICS 2005»
13 years 4 months ago
Differential and trajectory methods for time course gene expression data
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...