P. Moravec, V. Snás̃el, A. Frolov, D. Húsek, H. Řezanková, Pavel Polyakov
{"title":"基于降维方法的图像分析","authors":"P. Moravec, V. Snás̃el, A. Frolov, D. Húsek, H. Řezanková, Pavel Polyakov","doi":"10.1109/CISIM.2007.39","DOIUrl":null,"url":null,"abstract":"In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD, Boolean factor analysis, and cluster analysis. The qualitative comparison is evaluated on a collection of bars. We compare the quality of these methods from on the base of the visual impact.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"1373 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Image Analysis by Methods of Dimension Reduction\",\"authors\":\"P. Moravec, V. Snás̃el, A. Frolov, D. Húsek, H. Řezanková, Pavel Polyakov\",\"doi\":\"10.1109/CISIM.2007.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD, Boolean factor analysis, and cluster analysis. The qualitative comparison is evaluated on a collection of bars. We compare the quality of these methods from on the base of the visual impact.\",\"PeriodicalId\":350490,\"journal\":{\"name\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"volume\":\"1373 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIM.2007.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD, Boolean factor analysis, and cluster analysis. The qualitative comparison is evaluated on a collection of bars. We compare the quality of these methods from on the base of the visual impact.