{"id":"https://openalex.org/W2588295698","doi":"https://doi.org/10.1109/cis.2007.74","title":"Spectral Correspondence Using Local Similarity Analysis","display_name":"Spectral Correspondence Using Local Similarity Analysis","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2588295698","doi":"https://doi.org/10.1109/cis.2007.74","mag":"2588295698"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2007.74","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031308675","display_name":"Jun Tang","orcid":"https://orcid.org/0000-0002-8211-9763"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"funder","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025474414","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0001-6257-0875"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"funder","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695575","display_name":"Nian Wang","orcid":"https://orcid.org/0000-0002-9923-0062"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"funder","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nian Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017935525","display_name":"Zhaohong Jia","orcid":"https://orcid.org/0000-0001-6607-7025"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"funder","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Hong Jia","raw_affiliation_strings":["Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.443,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.29726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"399"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9846,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9839,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.66270715},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral Clustering","score":0.55800146},{"id":"https://openalex.org/keywords/correspondence-analysis","display_name":"Correspondence analysis","score":0.46233317},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42284673},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.41284454}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.70201397},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.66270715},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.55800146},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5326049},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5284909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5201633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.50137186},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49580893},{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.46233317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44896415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4459791},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42284673},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.41284454},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.15115488},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13984019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.112615824},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C149530733","wikidata":"https://www.wikidata.org/wiki/Q5597091","display_name":"Graph power","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2007.74","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.53,"id":"https://metadata.un.org/sdg/14"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1521462311","https://openalex.org/W1569083856","https://openalex.org/W1592092778","https://openalex.org/W1972278541","https://openalex.org/W1988336900","https://openalex.org/W1990283121","https://openalex.org/W2014425592","https://openalex.org/W2032167559","https://openalex.org/W2052267638","https://openalex.org/W2057175746","https://openalex.org/W2114296987","https://openalex.org/W2116556172","https://openalex.org/W2117685508","https://openalex.org/W2150138094","https://openalex.org/W2152924492","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W88682288","https://openalex.org/W4312820490","https://openalex.org/W2902850141","https://openalex.org/W2613055102","https://openalex.org/W2265158691","https://openalex.org/W2136935487","https://openalex.org/W2032317191","https://openalex.org/W1993137812","https://openalex.org/W1717510786","https://openalex.org/W1457719682"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,61],"novel":[4],"algorithm":[5],"for":[6],"point":[7],"correspondences":[8],"using":[9,20],"graph":[10],"spectral":[11,51,58],"analysis.":[12],"Firstly,":[13],"the":[14,21,26,32,55],"correspondence":[15,59],"probabilities":[16],"are":[17],"computed":[18],"by":[19,44],"eigenvectors":[22],"and":[23,37,69],"eigenvalues":[24],"of":[25,34,57],"proximity":[27],"matrix":[28],"as":[29,31],"well":[30],"method":[33,52,75],"alternated":[35],"row":[36],"column":[38],"normalizations.":[39],"Secondly,":[40],"local":[41],"similarity":[42],"evaluated":[43],"shape":[45],"context":[46],"is":[47],"incorporated":[48],"into":[49],"our":[50,74],"to":[53],"refine":[54],"results":[56],"via":[60],"probabilistic":[62],"relaxation":[63],"approach.":[64],"Experiments":[65],"on":[66],"both":[67],"real-world":[68],"synthetic":[70],"data":[71],"show":[72],"that":[73],"possesses":[76],"comparatively":[77],"high":[78],"accuracy.":[79]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2588295698","counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-02-23T09:17:42.782581","created_date":"2017-02-24"}