{"id":"https://openalex.org/W2129260071","doi":"https://doi.org/10.1109/cvpr.2009.5206652","title":"Half-integrality based algorithms for cosegmentation of images","display_name":"Half-integrality based algorithms for cosegmentation of images","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2129260071","doi":"https://doi.org/10.1109/cvpr.2009.5206652","mag":"2129260071","pmid":"https://pubmed.ncbi.nlm.nih.gov/21445226"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206652","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/3064268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054642319","display_name":"Lopamudra Mukherjee","orcid":"https://orcid.org/0000-0001-8765-7563"},"institutions":[{"id":"https://openalex.org/I183533211","display_name":"University of Wisconsin\u2013Whitewater","ror":"https://ror.org/049hrzs50","country_code":"US","type":"education","lineage":["https://openalex.org/I183533211"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lopamudra Mukherjee","raw_affiliation_strings":["Mathematics & Computer Science, Univ. of Wisconsin-Whitewater, Whitewater, Wisconsin, USA","Math. & Comput. Sci., Univ. of Wisconsin-Whitewater, Whitewater, WI, USA"],"affiliations":[{"raw_affiliation_string":"Mathematics & Computer Science, Univ. of Wisconsin-Whitewater, Whitewater, Wisconsin, USA","institution_ids":["https://openalex.org/I183533211"]},{"raw_affiliation_string":"Math. & Comput. Sci., Univ. of Wisconsin-Whitewater, Whitewater, WI, USA","institution_ids":["https://openalex.org/I183533211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779003","display_name":"Vikas Singh","orcid":"https://orcid.org/0000-0002-8355-6519"},"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":false,"raw_author_name":"Vikas Singh","raw_affiliation_strings":["Biostatistics & Medical Inform., Univ. of Wisconsin-Madison, Madison, Wisconsin, USA","Biostat. & Med. Inform., Univ. of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Biostatistics & Medical Inform., Univ. of Wisconsin-Madison, Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Biostat. & Med. Inform., Univ. of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080615708","display_name":"Charles R. Dyer","orcid":null},"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":false,"raw_author_name":"Charles R. Dyer","raw_affiliation_strings":["Computer Sciences, Univ. of Wisconsin-Madison, Madison, Wisconsin, USA","Comput. Sci., Univ. of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Computer Sciences, Univ. of Wisconsin-Madison, Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Comput. Sci., Univ. of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054642319"],"corresponding_institution_ids":["https://openalex.org/I183533211"],"apc_list":null,"apc_paid":null,"fwci":5.5986,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.95870736,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2028","last_page":"2035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/markov-random-field","display_name":"Markov random field","score":0.7534282207489014},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7320470809936523},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6295859813690186},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.621207058429718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771448612213135},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.551325798034668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49295783042907715},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4849002957344055},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48022323846817017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45752060413360596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4380859434604645},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42285534739494324},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4183063209056854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4060385525226593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3790656328201294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07646343111991882}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7534282207489014},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7320470809936523},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6295859813690186},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.621207058429718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771448612213135},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.551325798034668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49295783042907715},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4849002957344055},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48022323846817017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45752060413360596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4380859434604645},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42285534739494324},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4183063209056854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4060385525226593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3790656328201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07646343111991882},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cvpr.2009.5206652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206652","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmid:21445226","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21445226","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":"Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.2473","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.2473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.biostat.wisc.edu/~vsingh/coseg.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.379.4009","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.4009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ftp.cs.wisc.edu/computer-vision/repository/PDF/singh.2009.cvpr.pdf","raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3064268","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3064268","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:3064268","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3064268","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W125509687","https://openalex.org/W149871427","https://openalex.org/W1548595933","https://openalex.org/W1557310162","https://openalex.org/W1981238278","https://openalex.org/W2006293258","https://openalex.org/W2038952578","https://openalex.org/W2074078071","https://openalex.org/W2077783414","https://openalex.org/W2093128520","https://openalex.org/W2105340458","https://openalex.org/W2109868644","https://openalex.org/W2111649715","https://openalex.org/W2114614590","https://openalex.org/W2128491350","https://openalex.org/W2129004009","https://openalex.org/W2132569499","https://openalex.org/W2134529554","https://openalex.org/W2136467819","https://openalex.org/W2137117160","https://openalex.org/W2143516773","https://openalex.org/W2148799933","https://openalex.org/W2153980837","https://openalex.org/W2157244733","https://openalex.org/W2159372453","https://openalex.org/W2171014688","https://openalex.org/W4210431029","https://openalex.org/W4249958705","https://openalex.org/W6606103862","https://openalex.org/W6632941408","https://openalex.org/W6679857762","https://openalex.org/W6680316977","https://openalex.org/W6683350956"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W4205800335","https://openalex.org/W4233585817"],"abstract_inverted_index":{"We":[0,94],"study":[1],"the":[2,6,11,41,44,62,66,74,117],"cosegmentation":[3],"problem":[4],"where":[5],"objective":[7],"is":[8],"to":[9,39,102],"segment":[10],"same":[12],"object":[13],"(i.e.,":[14],"region)":[15],"from":[16],"a":[17,30],"pair":[18],"of":[19,43,65,116],"images.":[20],"The":[21],"segmentation":[22,64],"for":[23,61],"each":[24],"image":[25],"can":[26],"be":[27],"cast":[28],"using":[29,73],"partitioning/segmentation":[31],"function":[32],"with":[33,69,89],"an":[34,86],"additional":[35],"constraint":[36],"that":[37],"seeks":[38],"make":[40],"histograms":[42],"segmented":[45],"regions":[46],"(based":[47],"on":[48],"intensity":[49],"and":[50,83],"texture":[51],"features)":[52],"similar.":[53],"Using":[54],"Markov":[55],"Random":[56],"Field":[57],"(MRF)":[58],"energy":[59],"terms":[60],"simultaneous":[63],"images":[67],"together":[68],"histogram":[70],"consistency":[71],"requirements":[72],"squared":[75],"L(2)":[76],"(rather":[77],"than":[78],"L(1))":[79],"distance,":[80],"after":[81],"linearization":[82],"adjustments,":[84],"yields":[85],"optimization":[87],"model":[88],"some":[90],"interesting":[91],"combinatorial":[92],"properties.":[93],"discuss":[95],"these":[96],"properties":[97],"which":[98],"are":[99],"closely":[100],"related":[101],"certain":[103],"relaxation":[104],"strategies":[105],"recently":[106],"introduced":[107],"in":[108],"computer":[109],"vision.":[110],"Finally,":[111],"we":[112],"show":[113],"experimental":[114],"results":[115],"proposed":[118],"approach.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":24},{"year":2012,"cited_by_count":19}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
