{"title":"图像模式识别中有效特征选择的智能方法","authors":"Margarita Gamarra, Christian G. Quintero","doi":"10.1109/LARC.2011.6086826","DOIUrl":null,"url":null,"abstract":"In pattern recognition is necessary to have a number of features to identify each class. This article presents approaches for feature selection and classification in pattern recognition in digital images using intelligent algorithms. The question to work, a theoretical framework and related work on the subject are developed, experiments are proposed and results are shown.","PeriodicalId":419849,"journal":{"name":"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intelligent approaches for effective feature selection in image pattern recognition\",\"authors\":\"Margarita Gamarra, Christian G. Quintero\",\"doi\":\"10.1109/LARC.2011.6086826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In pattern recognition is necessary to have a number of features to identify each class. This article presents approaches for feature selection and classification in pattern recognition in digital images using intelligent algorithms. The question to work, a theoretical framework and related work on the subject are developed, experiments are proposed and results are shown.\",\"PeriodicalId\":419849,\"journal\":{\"name\":\"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE\",\"volume\":\"173 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LARC.2011.6086826\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LARC.2011.6086826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent approaches for effective feature selection in image pattern recognition
In pattern recognition is necessary to have a number of features to identify each class. This article presents approaches for feature selection and classification in pattern recognition in digital images using intelligent algorithms. The question to work, a theoretical framework and related work on the subject are developed, experiments are proposed and results are shown.