PCA, LDA and neural network for face identification
Algorithms based on Principal Component Analysis (PCA) and subspace Linear Discriminant Analysis (LDA) are popular in face recognition. PCA is used to perform dimension reduction on human face data and LDA creates another subspace to improve discriminant of PCA features. In this paper, we propose Ar...
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| வடிவமà¯: | Book Section |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
Institute of Electrical and Electronics Engineers
2009
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| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/13042/ http://eprints.utm.my/13042/ http://eprints.utm.my/13042/ |
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