{"title":"图像分割中nystrom扩展的数值稳定性","authors":"E. Izquierdo, V. Guerra-Ones","doi":"10.1109/MLSP.2004.1423024","DOIUrl":null,"url":null,"abstract":"A stability analysis of the approximate solution for spectral partitioning in image segmentation based on the Nystrom extension is presented. Algorithmic modifications are introduced to improve the stability of the original technique reported in (C. Fowlkes et al., 2004). The proposed improvement includes a criterion for the selection of the initial sample and more stable estimations of inverse matrices. The proposed algorithm is validated by several computer experiments","PeriodicalId":70952,"journal":{"name":"信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Numerical stability of nystrom extension for image segmentation\",\"authors\":\"E. Izquierdo, V. Guerra-Ones\",\"doi\":\"10.1109/MLSP.2004.1423024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A stability analysis of the approximate solution for spectral partitioning in image segmentation based on the Nystrom extension is presented. Algorithmic modifications are introduced to improve the stability of the original technique reported in (C. Fowlkes et al., 2004). The proposed improvement includes a criterion for the selection of the initial sample and more stable estimations of inverse matrices. The proposed algorithm is validated by several computer experiments\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSP.2004.1423024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/MLSP.2004.1423024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Numerical stability of nystrom extension for image segmentation
A stability analysis of the approximate solution for spectral partitioning in image segmentation based on the Nystrom extension is presented. Algorithmic modifications are introduced to improve the stability of the original technique reported in (C. Fowlkes et al., 2004). The proposed improvement includes a criterion for the selection of the initial sample and more stable estimations of inverse matrices. The proposed algorithm is validated by several computer experiments
期刊介绍:
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.