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In this paper, region based stereo matching algorithms are developed for extraction depth information from two colour stereo image pair of waste bin. Depth calculation technique from a disparity map is a key part of this study. A filter eliminating unreliable disparity estimation was used for...
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conjectured to govern the natural neural assemblies and the classical principal component analysis (PCA) method used by …
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A novel class of dimension reduction methods is combined with a stochastic multi-factor panel regression-based state-space model in order to model the dynamics of yield curves whilst incorporating regression factors. This is achieved via Probabilistic Principal Component Analysis (PPCA) in which...
Persistent link: https://www.econbiz.de/10011995227
This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’ seldomly studied yet critical consumption behaviour over an extensive time period within the context of...
Persistent link: https://www.econbiz.de/10009438102
between Partial Least Squares (PLS) dimension reduction and between-group PCA, and between linear discriminant analysis and … between-group PCA. Such methods are of great interest for the analysis of high-dimensional data with continuous predictors …
Persistent link: https://www.econbiz.de/10010266208
Semiconductor devices are categorized by the temperature limits that the device manufacturers specify. The usage of high temperature components are common in certain markets, like the military, oil and natural gas exploration, and avionics control systems. However, manufacturers are reducing...
Persistent link: https://www.econbiz.de/10009450644
method is Principal Component Analysis (PCA), which in its classical form is restricted to linear relationships among …
Persistent link: https://www.econbiz.de/10010316706