{"id":"https://openalex.org/W1938904277","doi":"https://doi.org/10.1109/cvpr.2015.7298650","title":"Maximum persistency via iterative relaxed inference with graphical models","display_name":"Maximum persistency via iterative relaxed inference with graphical models","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1938904277","doi":"https://doi.org/10.1109/cvpr.2015.7298650","mag":"1938904277"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"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/A5068080640","display_name":"Alexander Shekhovtsov","orcid":"https://orcid.org/0000-0003-0678-8954"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Alexander Shekhovtsov","raw_affiliation_strings":["TU Graz, Austria","TU, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"TU Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"TU, Graz, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070897658","display_name":"Paul Swoboda","orcid":"https://orcid.org/0000-0003-4065-8758"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Swoboda","raw_affiliation_strings":["Heidelberg University, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022781127","display_name":"Bogdan Savchynskyy","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bogdan Savchynskyy","raw_affiliation_strings":["TU Dresden, Germany","TU-Dresden (Germany)"],"affiliations":[{"raw_affiliation_string":"TU Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"TU-Dresden (Germany)","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068080640"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":3.4515,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93250408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inference","display_name":"Inference","score":0.8105863928794861},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.7368040084838867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6302794218063354},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.5610358119010925},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5204025506973267},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47624707221984863},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4458504319190979},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.44025540351867676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4251728057861328},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3953445851802826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3280245065689087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3000953793525696}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8105863928794861},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.7368040084838867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302794218063354},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.5610358119010925},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5204025506973267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47624707221984863},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4458504319190979},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.44025540351867676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4251728057861328},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3953445851802826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3280245065689087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3000953793525696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W73592085","https://openalex.org/W183034762","https://openalex.org/W1553332406","https://openalex.org/W1971861370","https://openalex.org/W1972728295","https://openalex.org/W1981238278","https://openalex.org/W2001036734","https://openalex.org/W2008772536","https://openalex.org/W2015447696","https://openalex.org/W2016663857","https://openalex.org/W2023446761","https://openalex.org/W2037534739","https://openalex.org/W2071731321","https://openalex.org/W2074078071","https://openalex.org/W2076534077","https://openalex.org/W2082413021","https://openalex.org/W2092811510","https://openalex.org/W2101309634","https://openalex.org/W2107884096","https://openalex.org/W2120340025","https://openalex.org/W2121115823","https://openalex.org/W2135414191","https://openalex.org/W2137117160","https://openalex.org/W2144652879","https://openalex.org/W2146369368","https://openalex.org/W2146807782","https://openalex.org/W2149474573","https://openalex.org/W2164918853","https://openalex.org/W2165949176","https://openalex.org/W2181962393","https://openalex.org/W2951056087","https://openalex.org/W2962774238","https://openalex.org/W2963026328","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2155154734","https://openalex.org/W3096727215","https://openalex.org/W2955135267","https://openalex.org/W2776613281","https://openalex.org/W2373988360","https://openalex.org/W2070797946","https://openalex.org/W2115836268","https://openalex.org/W2127039500","https://openalex.org/W3127057217","https://openalex.org/W2085200348"],"abstract_inverted_index":{"We":[0,10,106],"consider":[1],"the":[2,36,53,80,95],"NP-hard":[3],"problem":[4],"of":[5,22,35,52,86,99,109],"MAP-inference":[6],"for":[7,18],"graphical":[8,38],"models.":[9],"propose":[11],"a":[12,20,77,92],"polynomial":[13],"time":[14],"practically":[15],"efficient":[16],"algorithm":[17,28,73],"finding":[19],"part":[21],"its":[23],"optimal":[24,50,103],"solution.":[25],"Specifically,":[26],"our":[27,72,87,110],"marks":[29],"each":[30,33],"label":[31],"in":[32,91],"node":[34],"considered":[37],"model":[39],"either":[40],"as":[41,102],"(i)":[42],"optimal,":[43],"meaning":[44],"that":[45],"it":[46,59,89],"belongs":[47],"to":[48,64],"all":[49],"solutions":[51],"inference":[54],"problem;":[55],"(ii)":[56],"non-optimal":[57],"if":[58],"provably":[60],"does":[61],"not":[62,75],"belong":[63],"any":[65],"solution;":[66],"or":[67,104],"(iii)":[68],"undefined,":[69],"which":[70],"means":[71],"can":[74],"make":[76],"decision":[78],"regarding":[79],"label.":[81],"Moreover,":[82],"we":[83],"prove":[84],"optimality":[85],"approach:":[88],"delivers":[90],"certain":[93],"sense":[94],"largest":[96],"total":[97],"number":[98],"labels":[100],"marked":[101],"non-optimal.":[105],"demonstrate":[107],"superiority":[108],"approach":[111],"on":[112],"problems":[113],"from":[114],"machine":[115],"learning":[116],"and":[117],"computer":[118],"vision":[119],"benchmarks.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
