愚笨
发表于 2025-3-28 17:53:32
https://doi.org/10.1057/978-1-137-59442-6r discriminatory information. In the second approach, nonlinear features are extracted using KPCA+CCA which is equivalent to KFDA in nature. The experimental results upon ORL face database indicate that the proposed PCA/KPCA+CCA significantly outperform the traditional Fisherface method.
oxidize
发表于 2025-3-28 22:22:58
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GEN
发表于 2025-3-29 01:38:49
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疼死我了
发表于 2025-3-29 03:15:02
https://doi.org/10.1007/978-3-031-45289-5l PCA and LDA approaches, the size of the image covariance matrices using new approaches are much smaller. As a result, those new approaches have three important advantages over traditional ones. First, it is easier to evaluate the covariance matrix accurately. Second, less time is required to deter
Etching
发表于 2025-3-29 08:03:10
Monitoring of Tool Wear Using Feature Vector Selection and Linear RegressionOverview:
Dictation
发表于 2025-3-29 12:32:28
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CARK
发表于 2025-3-29 19:35:15
Principal Component Neural Networks Based Intrusion Feature Extraction and Detection Using SVMOverview:
人类学家
发表于 2025-3-29 22:43:51
GA-Driven LDA in KPCA Space for Facial Expression RecognitionOverview:
一致性
发表于 2025-3-30 03:18:01
A New ART Neural Networks for Remote Sensing Image ClassificationOverview:
GILD
发表于 2025-3-30 06:10:33
Modified Color Co-occurrence Matrix for Image RetrievalOverview: