Fast Incremental Algorithm of Simple Principal Component Analysis (特集 若手研究者) -- (ソフトコンピューティング・学習)

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概要

• 論文の詳細を見る

• This paper presents a new algorithm for incremental learning, which is named Incremental Simple-PCA. This algorithm adds an incremental learning function to the Simple-PCA that is an approximation algorithm of the principal component analysis where an eigenvector can be calculated by a simple repeated calculation. Using the proposed algorithm, it is possible to update the eigenvector faster by using incremental data. We carry out computer simulations on personal authentication that uses face images and wrist motion recognition that uses wrist EMG by incremental learning to verify the effectiveness of this algorithm. These results were compared with the results of Incremental PCA that introduced incremental learning function to the conventional PCA.

• 社団法人 電気学会の論文
• 2009-01-01

著者

• OYAMA Tadahiro

  Kobe City College of Technology

• KARUNGARU Stephen

  The University of Tokushima

• TSUGE Satoru

  Daido University

• FUKUMI Minoru

  The University of Tokushima

• Fukumi Minoru

  Department Of Information Science And Intelligent Systems University Of Tokushima

• Karungaru Stephen

  Department Of Information Science And Intelligent Systems University Of Tokushima

• Oyama Tadahiro

  Department of Information & Science Intelligent Systems, The University of Tokushima

• TSUGE Satoru

  Department of Information Science & Intelligent Systems, The University of Tokushima

• MITSUKURA Yasue

  Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Tec

• Mitsukura Yasue

  Graduate School Of Bio-applications And Systems Engineering Tokyo University Of Agriculture And Tech

• Karungaru Stephen

  Department of Information & Science Intelligent Systems, The University of Tokushima

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• Fast Incremental Algorithm of Simple Principal Component Analysis (特集 若手研究者) -- (ソフトコンピューティング・学習)
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