{"id":"https://openalex.org/W2141172345","doi":"https://doi.org/10.1109/cvpr.2011.5995489","title":"Wavelet belief propagation for large scale inference problems","display_name":"Wavelet belief propagation for large scale inference problems","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2141172345","doi":"https://doi.org/10.1109/cvpr.2011.5995489","mag":"2141172345"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5077382243","display_name":"Ruxandra Lasowski","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ruxandra Lasowski","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","University of Saarland, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"University of Saarland, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032171816","display_name":"Art Tevs","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Art Tevs","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020719193","display_name":"Michael Wand","orcid":"https://orcid.org/0000-0003-0966-7824"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Wand","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","University of Saarland, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"University of Saarland, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058028526","display_name":"Hans\u2010Peter Seidel","orcid":"https://orcid.org/0000-0002-1343-8613"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Peter Seidel","raw_affiliation_strings":["Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck-Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077382243"],"corresponding_institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.7042,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73904962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"1921","last_page":"1928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/belief-propagation","display_name":"Belief propagation","score":0.80698561668396},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6923089027404785},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6804205179214478},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6519713997840881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5806393027305603},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5781441926956177},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.564267098903656},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5201975703239441},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49075302481651306},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48411524295806885},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46895116567611694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4445562958717346},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.4387805163860321},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4171755015850067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35653114318847656},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32976827025413513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25187498331069946},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23392590880393982},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20178616046905518},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08116766810417175}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.80698561668396},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6923089027404785},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6804205179214478},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6519713997840881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806393027305603},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5781441926956177},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.564267098903656},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5201975703239441},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49075302481651306},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48411524295806885},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46895116567611694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4445562958717346},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.4387805163860321},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4171755015850067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35653114318847656},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32976827025413513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25187498331069946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23392590880393982},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20178616046905518},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08116766810417175},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2011.5995489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.230.3919","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.3919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mpi-sb.mpg.de/%7Elasowski/download/cvpr11.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:618865","is_oa":false,"landing_page_url":"http://edoc.mpg.de/618865","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Felzenszwalb, Pedro; Forsyth, David; Fua, Pascal: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 1921-1928 (2011)","raw_type":"Conference-Paper"},{"id":"pmh:oai:pure.mpg.de:item_1562644","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0010-141B-C","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1494985239","https://openalex.org/W1561952261","https://openalex.org/W1839539009","https://openalex.org/W1867429401","https://openalex.org/W1934021597","https://openalex.org/W2019599312","https://openalex.org/W2053727973","https://openalex.org/W2076669957","https://openalex.org/W2081351607","https://openalex.org/W2104974755","https://openalex.org/W2105029388","https://openalex.org/W2106627486","https://openalex.org/W2108190040","https://openalex.org/W2121742479","https://openalex.org/W2131394160","https://openalex.org/W2145910076","https://openalex.org/W2147253850","https://openalex.org/W2165949176","https://openalex.org/W2167947196","https://openalex.org/W2545478168","https://openalex.org/W6633448084","https://openalex.org/W6639126518","https://openalex.org/W6640231202","https://openalex.org/W6676047890"],"related_works":["https://openalex.org/W2180905035","https://openalex.org/W2396038226","https://openalex.org/W3129702638","https://openalex.org/W2169282664","https://openalex.org/W2151646056","https://openalex.org/W2143052184","https://openalex.org/W2166869208","https://openalex.org/W1552759590","https://openalex.org/W2118215373","https://openalex.org/W4233015508"],"abstract_inverted_index":{"Loopy":[0],"belief":[1],"propagation":[2],"(LBP)":[3],"is":[4,127],"a":[5,35,47,113],"powerful":[6],"tool":[7],"for":[8,17],"approximate":[9],"inference":[10],"in":[11,46,66],"Markov":[12],"random":[13],"fields":[14],"(MRFs).":[15],"However,":[16],"problems":[18,97],"with":[19,98,118],"large":[20,99,122],"state":[21,100],"spaces,":[22],"the":[23,53,67,76,82,87,92,124],"runtime":[24],"costs":[25],"are":[26],"often":[27],"prohibitively":[28],"high.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33,111],"present":[34],"new":[36,93,125],"LBP":[37],"algorithm":[38,63,74],"that":[39],"represents":[40],"all":[41],"beliefs,":[42],"marginals,":[43],"and":[44,106],"messages":[45],"wavelet":[48,68],"representation,":[49],"which":[50],"can":[51],"encode":[52],"probabilistic":[54],"information":[55,83],"much":[56],"more":[57],"compactly.":[58],"Unlike":[59],"previous":[60],"work,":[61],"our":[62],"operates":[64],"solely":[65],"domain.":[69],"This":[70],"yields":[71],"an":[72,132],"output-sensitive":[73],"where":[75,110],"running":[77],"time":[78],"depends":[79],"mostly":[80],"on":[81],"content":[84],"rather":[85],"than":[86,130],"discretization":[88,119],"resolution.":[89,120],"We":[90],"apply":[91],"technique":[94,126],"to":[95],"typical":[96],"spaces":[101],"such":[102],"as":[103],"image":[104],"matching":[105],"wide-baseline":[107],"optical":[108],"flow":[109],"observe":[112],"significantly":[114,128],"improved":[115],"scaling":[116],"behavior":[117],"For":[121],"problems,":[123],"faster":[129],"even":[131],"optimized":[133],"spatial":[134],"domain":[135],"implementation.":[136]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
