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» Input Modeling Using Quantile Statistical Methods
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ECML
2006
Springer
14 years 2 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
MS
2003
14 years 3 days ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
ICPR
2006
IEEE
14 years 12 months ago
Shape-based Discrimination and Classification of Cortical Surfaces
Advances in medical imaging technique make it possible to study shape variations of neuroanatomical structures in vivo, which has been proved useful in the study of neuropathology...
Arthur K. Liu, Bruce Fischl, Florent Ségonn...
ICASSP
2010
IEEE
13 years 11 months ago
Action change detection in video by covariance matching of silhouette tunnels
Action recognition is an important but challenging problem in video analytics with a number of solutions proposed to date. However, even if a reliable model for action representat...
Kai Guo, Prakash Ishwar, Janusz Konrad
UAI
2004
14 years 4 days ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer