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13 articles for “Principal Components Analysis (PCA)”
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Research ArticleOpen accessIn the abstractStroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture SystemC. H. Lai, T.I. James TsayProblem statement: Human ping-pong players determine the stroke trajectory according to their experience before the ball enters their court. However, to enable a humanoid robot to select the appropriate stroke motion based on skills learned from 3D motion, important patterns must be generated to simplify the complex 3D motion. Approach: This study developed an effective strategy for teaching ping-pong skills … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting ProcessSalah Bouhouche, Malek Lahreche, Abdelkrim Moussaoui, Jürgen BastThis paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring. PCA coupled to fuzzy logic was used to estimate the fault or defect according to the dynamic changes in the process inputs-outputs characterized by T2 Hoteling and Squared Prediction Error (SPE). Correlation between the … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,245 accessesView PDFCite
Research ArticleOpen accessIn the abstractSplitting Technique Initialization in Local PCAAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThe local Principal Component Analysis (PCA) reduces linearly redundant components that may present in higher dimensional space. It deploys an initial guess technique which can be utilized when the distribution of a given multivariate data is known to the user. The problem in initialization arises when the distribution is not known. This study explores a technique that can be easily … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,725 accessesView PDFCite