{"id":"https://openalex.org/W2136552606","doi":"https://doi.org/10.1007/s11263-014-0766-9","title":"Sequential Monte Carlo for Maximum Weight Subgraphs with Application to Solving Image Jigsaw Puzzles","display_name":"Sequential Monte Carlo for Maximum Weight Subgraphs with Application to Solving Image Jigsaw Puzzles","publication_year":2014,"publication_date":"2014-10-09","ids":{"openalex":"https://openalex.org/W2136552606","doi":"https://doi.org/10.1007/s11263-014-0766-9","mag":"2136552606","pmid":"https://pubmed.ncbi.nlm.nih.gov/26052182"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-014-0766-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-014-0766-9","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4456043","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011613330","display_name":"Nagesh Adluru","orcid":"https://orcid.org/0000-0001-8330-1770"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nagesh Adluru","raw_affiliation_strings":["University of Wisconsin, Madison, WI, USA","University of Wisconsin\u2013Madison  USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin\u2013Madison  USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081624199","display_name":"Xing\u2010Wei Yang","orcid":"https://orcid.org/0000-0002-9578-2986"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingwei Yang","raw_affiliation_strings":["Machine Learning Science Group at Amazon.com, Seattle, WA, USA","Machine Learning Science Group at Amazon.com, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Science Group at Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Machine Learning Science Group at Amazon.com, Seattle, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064854962","display_name":"Longin Jan Latecki","orcid":"https://orcid.org/0000-0002-5102-8244"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longin Jan Latecki","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA","Temple University, Philadelphia, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Temple University, Philadelphia, USA#TAB#","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011613330"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":0.4943,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71656745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"112","issue":"3","first_page":"319","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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/T12364","display_name":"Archaeological Research and Protection","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jigsaw","display_name":"Jigsaw","score":0.7816789150238037},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.667793869972229},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5982924699783325},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.548616349697113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5305514931678772},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.49601277709007263},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4777916371822357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4561556577682495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4538102149963379},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4326571822166443},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.42016342282295227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3479803502559662},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33136099576950073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.282065212726593}],"concepts":[{"id":"https://openalex.org/C2779405079","wikidata":"https://www.wikidata.org/wiki/Q356040","display_name":"Jigsaw","level":2,"score":0.7816789150238037},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.667793869972229},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5982924699783325},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.548616349697113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5305514931678772},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.49601277709007263},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4777916371822357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4561556577682495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4538102149963379},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4326571822166443},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.42016342282295227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3479803502559662},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33136099576950073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.282065212726593},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11263-014-0766-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-014-0766-9","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmid:26052182","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26052182","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer vision","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4456043","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4456043","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Vis","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4456043","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4456043","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Vis","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.800000011920929,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W13877772","https://openalex.org/W20974380","https://openalex.org/W35665245","https://openalex.org/W201760388","https://openalex.org/W1481420047","https://openalex.org/W1483307070","https://openalex.org/W1499578337","https://openalex.org/W1514583064","https://openalex.org/W1518994209","https://openalex.org/W1569098853","https://openalex.org/W1569954480","https://openalex.org/W1587878450","https://openalex.org/W1587957970","https://openalex.org/W1852055750","https://openalex.org/W1971700807","https://openalex.org/W1973904197","https://openalex.org/W1975389169","https://openalex.org/W1976015505","https://openalex.org/W1982931780","https://openalex.org/W1987653866","https://openalex.org/W1992101337","https://openalex.org/W1993428550","https://openalex.org/W1996791172","https://openalex.org/W2010971800","https://openalex.org/W2013348471","https://openalex.org/W2020696014","https://openalex.org/W2027515293","https://openalex.org/W2032309405","https://openalex.org/W2032821770","https://openalex.org/W2036342488","https://openalex.org/W2055285298","https://openalex.org/W2055430302","https://openalex.org/W2058029809","https://openalex.org/W2066367171","https://openalex.org/W2069739265","https://openalex.org/W2072500816","https://openalex.org/W2075838454","https://openalex.org/W2076080556","https://openalex.org/W2086917808","https://openalex.org/W2089657469","https://openalex.org/W2094539604","https://openalex.org/W2095921114","https://openalex.org/W2098613108","https://openalex.org/W2104670598","https://openalex.org/W2105996029","https://openalex.org/W2107855892","https://openalex.org/W2108182844","https://openalex.org/W2109681684","https://openalex.org/W2113894747","https://openalex.org/W2115659887","https://openalex.org/W2120997209","https://openalex.org/W2124465992","https://openalex.org/W2128981808","https://openalex.org/W2133750711","https://openalex.org/W2135092312","https://openalex.org/W2136440888","https://openalex.org/W2138910149","https://openalex.org/W2141072246","https://openalex.org/W2141155330","https://openalex.org/W2141251974","https://openalex.org/W2142558570","https://openalex.org/W2148300333","https://openalex.org/W2151103935","https://openalex.org/W2158256890","https://openalex.org/W2159537329","https://openalex.org/W2161406034","https://openalex.org/W2161444532","https://openalex.org/W2162733643","https://openalex.org/W2164948578","https://openalex.org/W2165107146","https://openalex.org/W2165835775","https://openalex.org/W2166524953","https://openalex.org/W2166820607","https://openalex.org/W2170432751","https://openalex.org/W2171103562","https://openalex.org/W2205290124","https://openalex.org/W2336416123","https://openalex.org/W2362808110","https://openalex.org/W2523622633","https://openalex.org/W2525721411","https://openalex.org/W2547366248","https://openalex.org/W2952000785","https://openalex.org/W2962833207","https://openalex.org/W3152330821","https://openalex.org/W4205463258","https://openalex.org/W4211036892","https://openalex.org/W4246598646","https://openalex.org/W4255532933","https://openalex.org/W4285719527","https://openalex.org/W6600861373","https://openalex.org/W6601432108","https://openalex.org/W6635206105","https://openalex.org/W6637402315","https://openalex.org/W6664597185","https://openalex.org/W6669552665","https://openalex.org/W6680173660","https://openalex.org/W6680336204","https://openalex.org/W6681041429","https://openalex.org/W6681274554","https://openalex.org/W6703161083","https://openalex.org/W6729679072","https://openalex.org/W6835722348"],"related_works":["https://openalex.org/W4313442009","https://openalex.org/W3106062205","https://openalex.org/W3083639670","https://openalex.org/W2291971009","https://openalex.org/W2614642134","https://openalex.org/W3112136298","https://openalex.org/W2352772529","https://openalex.org/W2150865841","https://openalex.org/W2138865713","https://openalex.org/W2180905035"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}