{"title":"间接免疫荧光图像识别的二次循环有限脉冲响应MLP","authors":"Cristinel Codrescu","doi":"10.1109/I3A.2014.14","DOIUrl":null,"url":null,"abstract":"The I3A2014 contest participants had to design and implement a pattern recognition system able to classify the cells belonging to HEp-2 images in one of six pattern classes. We propose the QR-FIRMLP architecture, an extension of the finite impulse response multilayer perceptron (FIRMLP). The FIRMLP is a multilayer perceptron where the static weights have been replaced by finite impulse response filters. We have extended this architecture by replacing some sigmoidal layers with quadratic ones and adding recurrent connections to the FIR neurons.","PeriodicalId":103785,"journal":{"name":"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Quadratic Recurrent Finite Impulse Response MLP for Indirect Immunofluorescence Image Recognition\",\"authors\":\"Cristinel Codrescu\",\"doi\":\"10.1109/I3A.2014.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The I3A2014 contest participants had to design and implement a pattern recognition system able to classify the cells belonging to HEp-2 images in one of six pattern classes. We propose the QR-FIRMLP architecture, an extension of the finite impulse response multilayer perceptron (FIRMLP). The FIRMLP is a multilayer perceptron where the static weights have been replaced by finite impulse response filters. We have extended this architecture by replacing some sigmoidal layers with quadratic ones and adding recurrent connections to the FIR neurons.\",\"PeriodicalId\":103785,\"journal\":{\"name\":\"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I3A.2014.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I3A.2014.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The I3A2014 contest participants had to design and implement a pattern recognition system able to classify the cells belonging to HEp-2 images in one of six pattern classes. We propose the QR-FIRMLP architecture, an extension of the finite impulse response multilayer perceptron (FIRMLP). The FIRMLP is a multilayer perceptron where the static weights have been replaced by finite impulse response filters. We have extended this architecture by replacing some sigmoidal layers with quadratic ones and adding recurrent connections to the FIR neurons.