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105
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SIAMSC
2008
131views more  SIAMSC 2008»
15 years 15 days ago
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces
Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum...
Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Mar...
EMMCVPR
2007
Springer
15 years 6 months ago
Continuous Global Optimization in Multiview 3D Reconstruction
Abstract. In this work, we introduce a robust energy model for multiview 3D reconstruction that fuses silhouette- and stereo-based image information. It allows to cope with signiï¬...
Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedo...
ICMLC
2010
Springer
14 years 10 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
116
Voted
CASES
2007
ACM
15 years 4 months ago
Rethinking custom ISE identification: a new processor-agnostic method
The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user...
Ajay K. Verma, Philip Brisk, Paolo Ienne
99
Voted
TIP
2008
133views more  TIP 2008»
15 years 15 days ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky