2DLDA_PK_LDA_for_feature_extraction
所属分类：图形图像处理
开发工具：matlab
文件大小：12KB
下载次数：196
上传日期：2008-08-03 18:12:40
上 传 者：
ruanyu
说明： These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.
文件列表:
2DLDA PK LDA for feature extraction\ADM1.m (3355, 2008-05-22)
2DLDA PK LDA for feature extraction\ADM2.m (3307, 2008-05-22)
2DLDA PK LDA for feature extraction\Fnorm.m (2813, 2008-05-22)
2DLDA PK LDA for feature extraction\Fnorm2.m (2760, 2008-05-22)
2DLDA PK LDA for feature extraction\GetFullRankMatrix.m (353, 2008-05-22)
2DLDA PK LDA for feature extraction\iterative2DLDA.asv (2174, 2007-12-21)
2DLDA PK LDA for feature extraction\iterative2DLDA.m (3024, 2008-05-22)
2DLDA PK LDA for feature extraction\LDA2D.m (1794, 2008-05-22)
2DLDA PK LDA for feature extraction\MiniClassfiers.m (3002, 2008-06-04)
2DLDA PK LDA for feature extraction\OLDA.m (1289, 2008-06-04)
2DLDA PK LDA for feature extraction\randdatagenerate.m (5851, 2008-05-23)
2DLDA PK LDA for feature extraction\ULDA.m (2001, 2008-06-04)
2DLDA PK LDA for feature extraction\VM1.m (3114, 2008-05-22)
2DLDA PK LDA for feature extraction\VM2.m (2978, 2008-05-22)
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