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翁正剛
FLDA(Fisher Linear Discriminant Analy...

FLDA(Fisher Linear Discriminant Analysis)人臉分類辨識

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FLDA(Fisher Linear Discriminant Analysis)人臉分類辨識

By翁正剛
・
Taoyuan City, Taiwan
資料集: 有65個不同人，每個人有21張人臉資料。 使用技術: 主成分分析（Principal components analysis, PCA）和線性判別分析(Linear discriminant analysis, LDA)。 研究說明: 把每個人挑出18張當作訓練資料(65*18=1170張)，剩下的當作測試資料(65*3=195張)。 實驗結果: 辨識率為 81.880%
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翁正剛
Published: Oct 27th 2021
22
4
0
ML
Machine Learning
matlab
Fisher Linear Discriminant Analysis
FLDA
Linear discriminant analysis
LDA
Principal components analysis
PCA

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