{"id":"https://openalex.org/W2125952988","doi":"https://doi.org/10.1109/icpr.2002.1048383","title":"A fast leading eigenvector approximation for segmentation and grouping","display_name":"A fast leading eigenvector approximation for segmentation and grouping","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2125952988","doi":"https://doi.org/10.1109/icpr.2002.1048383","mag":"2125952988"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/A_fast_leading_eigenvector_approximation_for_segmentation_and_grouping/20775061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010621788","display_name":"Antonio Robles\u2010Kelly","orcid":"https://orcid.org/0000-0002-2465-5971"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"A. Robles-Kelly","raw_affiliation_strings":["Computer Science Department, University of York, York, UK","Dept. of Comput. Sci., York Univ., UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Dept. of Comput. Sci., York Univ., UK#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020674314","display_name":"Sudeep Sarkar","orcid":"https://orcid.org/0000-0001-7332-4207"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sarkar","raw_affiliation_strings":["Computer Science and Engineering, University of South Florida, Tampa, FL, USA","University of South FLorida"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"University of South FLorida","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074364400","display_name":"Edwin R. Hancock","orcid":"https://orcid.org/0000-0003-4496-2028"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"E.R. Hancock","raw_affiliation_strings":["Computer Science Department, University of York, York, UK","University of York"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"University of York","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010621788"],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.2692,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59916762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"639","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.996999979019165,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.7482962608337402},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.629227876663208},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5085080862045288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5082470774650574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4851187467575073},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4698463976383209},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4620780944824219},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4585563540458679},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41018813848495483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3709859848022461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2745192348957062},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22643497586250305},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08814379572868347}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.7482962608337402},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.629227876663208},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5085080862045288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5082470774650574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4851187467575073},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4698463976383209},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4620780944824219},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4585563540458679},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41018813848495483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3709859848022461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2745192348957062},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22643497586250305},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08814379572868347},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr.2002.1048383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.94.8456","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.8456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.rsise.anu.edu.au/~arobkell/papers/icpr02.pdf","raw_type":"text"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30127393","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20775061","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_fast_leading_eigenvector_approximation_for_segmentation_and_grouping/20775061","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20775061","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_fast_leading_eigenvector_approximation_for_segmentation_and_grouping/20775061","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W83404773","https://openalex.org/W658559791","https://openalex.org/W1500921805","https://openalex.org/W1578099820","https://openalex.org/W1640070940","https://openalex.org/W1972882176","https://openalex.org/W2013737143","https://openalex.org/W2116969637","https://openalex.org/W2121947440","https://openalex.org/W2128268197","https://openalex.org/W2136120429","https://openalex.org/W2137509076","https://openalex.org/W2160167256","https://openalex.org/W2170120409","https://openalex.org/W2171522835","https://openalex.org/W3022136271","https://openalex.org/W3035235874","https://openalex.org/W6636661408"],"related_works":["https://openalex.org/W2165749285","https://openalex.org/W2001036795","https://openalex.org/W2154748900","https://openalex.org/W2474979212","https://openalex.org/W3093811938","https://openalex.org/W4390092784","https://openalex.org/W1601247381","https://openalex.org/W127450631","https://openalex.org/W2062626603","https://openalex.org/W2161448262"],"abstract_inverted_index":{"We":[0,57],"present":[1],"a":[2,26,59],"fast":[3],"non-iterative":[4],"method":[5,68],"for":[6],"approximating":[7],"the":[8,45,64],"leading":[9],"eigenvector":[10],"so":[11],"as":[12,52,54],"to":[13,32],"render":[14],"graph-spectral":[15],"based":[16,24],"grouping":[17],"algorithms":[18],"more":[19],"efficient.":[20],"The":[21],"approximation":[22,46],"is":[23],"on":[25,69],"linear":[27],"perturbation":[28],"analysis":[29,61],"and":[30,38,62],"applies":[31],"matrices":[33],"that":[34],"are":[35],"non-sparse,":[36],"non-negative":[37],"symmetric.":[39],"For":[40],"an":[41],"N/spl":[42],"times/N":[43],"matrix,":[44],"can":[47],"be":[48],"implemented":[49],"with":[50],"complexity":[51],"low":[53],"O(4N/sup":[55],"2/).":[56],"provide":[58],"performance":[60],"demonstrate":[63],"usefulness":[65],"of":[66],"our":[67],"image":[70],"segmentation":[71],"problems.":[72]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
