{"title":"视觉重建网络的实现——电阻网络的替代方案","authors":"D. Mansor, D. Suter","doi":"10.1109/IJCNN.1991.170649","DOIUrl":null,"url":null,"abstract":"The resistive grid approach has been adopted by the Harris coupled depth-slope analog network and generalized for regularization involving arbitrary degrees of smoothness. The authors consider implementations of arbitrary order regularization networks which do not require resistive grids. The approach followed is to generalize the original formulation of J.G. Harris (1987) and then to follow alternative paths to analog circuit realization allowed by the generalization.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of visual reconstruction networks-Alternatives to resistive networks\",\"authors\":\"D. Mansor, D. Suter\",\"doi\":\"10.1109/IJCNN.1991.170649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The resistive grid approach has been adopted by the Harris coupled depth-slope analog network and generalized for regularization involving arbitrary degrees of smoothness. The authors consider implementations of arbitrary order regularization networks which do not require resistive grids. The approach followed is to generalize the original formulation of J.G. Harris (1987) and then to follow alternative paths to analog circuit realization allowed by the generalization.<<ETX>>\",\"PeriodicalId\":211135,\"journal\":{\"name\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1991.170649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1991.170649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of visual reconstruction networks-Alternatives to resistive networks
The resistive grid approach has been adopted by the Harris coupled depth-slope analog network and generalized for regularization involving arbitrary degrees of smoothness. The authors consider implementations of arbitrary order regularization networks which do not require resistive grids. The approach followed is to generalize the original formulation of J.G. Harris (1987) and then to follow alternative paths to analog circuit realization allowed by the generalization.<>