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» Resampling methods for input modeling
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129
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ECML
2006
Springer
15 years 7 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
144
Voted
TIP
2008
125views more  TIP 2008»
15 years 3 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
111
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
Dynamic sensitivity analysis of biological systems
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Wu Hsiung Wu, Feng Sheng Wang, Maw Shang Chang
141
Voted
CVPR
2007
IEEE
16 years 5 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
120
Voted
ECCV
2000
Springer
16 years 5 months ago
Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
We describe a method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane, that is, a m...
John W. Zweck, Lance R. Williams