文件名称:2dPCAand-2dlda

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  • 人工智能/神经网络/遗传算法
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  • 2012-11-26
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  • 14.99mb
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  • 万**
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模式识别中2D方法,非常有用对初学者,包括2DPCA和2DLDA最新的方法。-2D pattern recognition method is very useful for beginners, including 2DPCA and 2DLDA latest methods.
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下载文件列表

论文2dPCAand 2dlda\(2D)2LDA An efficient approach for face recognition2006.pdf

..................\(2D)2PCA 20062-Directional 2-Dimensional PCA for Efficient Face Representation and Recognition2005.pdf

..................\(2dpca add 2dlda)2006TWO-DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS OF PRINCIPLE COMPONENT.pdf

..................\(B2DPCA2006)Class-Specific Subspace-Based Two-Dimensional Principal Component Analysis2006.pdf

..................\1991face recognition using eigenfaces.pdf

..................\6006Face recognition from a single image per person Asurvey.pdf

..................\A tutorial on Principal Components Analysis.pdf

..................\Afast kernel-based nonlinear discriminant analysis.pdf

..................\Face Recognition Based on Face-Specific Subspace2005.pdf

..................\Face Recognition based on variant 2DPCA-based approaches in robot environments2007.pdf

..................\FACE RECOGNITION FOR SMART INTERACTIONS.pdf

..................\FACE RECOGNITION USING 2DLDA ALGORITHM2005.pdf

..................\Face recognition using assembled matrix distance metric based 2DLDA 2006.pdf

..................\IMAGE PCA A NEW APPROACH FOR FACE RECOGNITION2007.pdf

..................\Multilinear Discriminant Analysis2007.pdf

..................\On solving the face recognition problem with one training sample per subject.pdf

..................\Orthogonal Neighborhood Preserving projections a prijecrion-based dimensionality reduction technique2007PAMI.pdf

..................\The Bas-Relief Ambiguity.pdf

..................\TWO-DIMENSIONAL ADAPTIVE DISCRIMINANT ANALYSIS2007.pdf

..................\Two-dimensional discriminant transform for face recognition2005.pdf

..................\Two-dimensional FLD for face recognition2005.pdf

..................\基于对角DCT与2DPCA算法的人脸识别.pdf

论文2dPCAand 2dlda

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