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» Warped Gaussian Processes
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VIP
2003
15 years 2 months ago
Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture
Real images are often corrupted by noise from various sources. Bilateral filtering is a nonlinear filter that considers intensity variations as well as spatial closeness in the no...
Qimei Hu, Xiangjian He, Jun Zhou
74
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MASCOTS
2000
15 years 2 months ago
The synTraff Suite of Traffic Modeling Toolkits
This paper describes three visually interactive tools for the analysis, modeling, and generation of long-range dependent (LRD) network traffic. The synTraff toolkit uses a three-s...
Ram Balakrishnan, Carey L. Williamson
99
Voted
NIPS
1997
15 years 2 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
105
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ICML
2010
IEEE
15 years 1 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
120
Voted
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 22 days ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein