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Description: 这里面包含两个文件，可以实现主成分分析（PCA）算法和线性判别分析（LDA）算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
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Size: 3324 |
Author: hongbochen |
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Description: 使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好
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Size: 3018 |
Author: yu_ccx@sohu.com |
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Description: 这里面包含两个文件，可以实现主成分分析（PCA）算法和线性判别分析（LDA）算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
Platform: |
Size: 3072 |
Author: hongbochen |
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Description: 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, on the other did not pay attention to details. Here there is a very detailed notes. In addition, attach a Naive Bayesian classifier, we can compare. Fringe image packages are OLR people face. ReducedDim you want to extract the characteristics of a few, not a percentage!
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Size: 3742720 |
Author: |
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Description: 使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with high efficiency. Robustness
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Size: 3072 |
Author: 张宏欣 |
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Description: 主流的人脸识别识别算法pca和lda的融合，将pca和lda方法的优点进行了融合补充的互相之间的不足-Mainstream recognition algorithm for face recognition pca and lda integration of the pca and lda method has the advantage was integration between each other enough to add
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Size: 534528 |
Author: makai |
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Description: PCA/LDA,vc,实现车牌定位,有测试图片.-PCA/LDA, vc, to auto locate the vehicle identification number, there are test images.
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Size: 2737152 |
Author: 云木 |
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Description: PCA + LDA 人脸识别，照着论文写得，大家可以参考-PCA+ LDA face recognition, according to paper to write, you can reference
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Size: 1024 |
Author: tangjun |
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