Browsing by Subject "Principal Component Analysis"
Now showing items 1-5 of 5
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(2016-07-28)Principle component analysis (PCA) has been a widely used tool for statistics and data analysis for many years. A good result of PCA should be both interpretable and accurate. However, neither interpretability nor accuracy ...
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(2012-07-16)Natural human motion is highly demanded and widely used in a variety of applications such as video games and virtual realities. However, acquisition of full-body motion remains challenging because the system must be capable ...
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Interval Principal Component Analysis and Its Application to Fault Detection and Data Classification (2018-01-17)Principal Component Analysis (PCA) is a linear data analysis tool that aims to reduce the dimensionality of a dataset, while retaining most of the variation found in it. It transforms the variables of a dataset into a new ...
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(2015-09-03)Common navigation algorithms like A* or D* Lite rely on costs to determine an optimal path. Costs may incorporate distance, time, or energy consumption; however, they can include anything that affects travel along a path. ...
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(Energy Systems Laboratory (http://esl.eslwin.tamu.edu), 1992-05)Statistical models of energy use in commercial buildings are being increasingly used not only for predicting retrofit savings but also for identifying improper operation of HVAC systems. The conventional approach involves ...