{"title":"矩阵分类器在音乐符号识别中的应用","authors":"M. Smiatacz, W. Malina","doi":"10.1109/INFTECH.2008.4621678","DOIUrl":null,"url":null,"abstract":"The paper presents the application of matrix-based classifiers to the problem of automatic recognition of musical notation symbols. The idea of classification algorithms operating on matrices instead of feature vectors is briefly introduced together with a short description of methods that we have recently proposed. The experiments that we report show that the matrix-based approach can be used to improve the effectiveness and usefulness of the OMR system developed in our department as a part of the digital library of musical documents.","PeriodicalId":247264,"journal":{"name":"2008 1st International Conference on Information Technology","volume":"27 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Matrix-based classifiers applied to recognition of musical notation symbols\",\"authors\":\"M. Smiatacz, W. Malina\",\"doi\":\"10.1109/INFTECH.2008.4621678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the application of matrix-based classifiers to the problem of automatic recognition of musical notation symbols. The idea of classification algorithms operating on matrices instead of feature vectors is briefly introduced together with a short description of methods that we have recently proposed. The experiments that we report show that the matrix-based approach can be used to improve the effectiveness and usefulness of the OMR system developed in our department as a part of the digital library of musical documents.\",\"PeriodicalId\":247264,\"journal\":{\"name\":\"2008 1st International Conference on Information Technology\",\"volume\":\"27 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 1st International Conference on Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFTECH.2008.4621678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 1st International Conference on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFTECH.2008.4621678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Matrix-based classifiers applied to recognition of musical notation symbols
The paper presents the application of matrix-based classifiers to the problem of automatic recognition of musical notation symbols. The idea of classification algorithms operating on matrices instead of feature vectors is briefly introduced together with a short description of methods that we have recently proposed. The experiments that we report show that the matrix-based approach can be used to improve the effectiveness and usefulness of the OMR system developed in our department as a part of the digital library of musical documents.