{"title":"图像特征提取的倾斜判别分析","authors":"Li-Yan Zhao, Dong Zou, Guanghong Gao","doi":"10.1109/IIH-MSP.2013.97","DOIUrl":null,"url":null,"abstract":"In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":105427,"journal":{"name":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Slant Discriminant Analysis for Image Feature Extraction\",\"authors\":\"Li-Yan Zhao, Dong Zou, Guanghong Gao\",\"doi\":\"10.1109/IIH-MSP.2013.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the effectiveness of the proposed algorithm.\",\"PeriodicalId\":105427,\"journal\":{\"name\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2013.97\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2013.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Slant Discriminant Analysis for Image Feature Extraction
In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the effectiveness of the proposed algorithm.
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