{"id":"https://openalex.org/W2137137397","doi":"https://doi.org/10.1109/tpami.2004.1262179","title":"Segmentation given partial grouping constraints","display_name":"Segmentation given partial grouping constraints","publication_year":2004,"publication_date":"2004-02-01","ids":{"openalex":"https://openalex.org/W2137137397","doi":"https://doi.org/10.1109/tpami.2004.1262179","mag":"2137137397","pmid":"https://pubmed.ncbi.nlm.nih.gov/15376893"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2004.1262179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2004.1262179","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5042014034","display_name":"Stella X. Yu","orcid":"https://orcid.org/0000-0002-3507-5761"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S.X. Yu","raw_affiliation_strings":["Department of Computer Science, University of California at Berkeley, 549 Soda Hall, Berkeley, CA 94720-1776, USA. stellayu@cs.berkeley.edu","[Dept. of Comput. Sci., California Univ., Berkeley, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California at Berkeley, 549 Soda Hall, Berkeley, CA 94720-1776, USA. stellayu@cs.berkeley.edu","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., California Univ., Berkeley, CA, USA]","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101990445","display_name":"Jianbo Shi","orcid":"https://orcid.org/0000-0002-7998-4211"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Shi","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania, GRASP Laboratory, Philadelphia, PA, USA","[Department of Computer and Information Science, University of Pennsylvania, GRASP Laboratory, Philadelphia, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania, GRASP Laboratory, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"[Department of Computer and Information Science, University of Pennsylvania, GRASP Laboratory, Philadelphia, PA, USA]","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042014034"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":12.69,"has_fulltext":false,"cited_by_count":256,"citation_normalized_percentile":{"value":0.99009118,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":"2","first_page":"173","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6621110439300537},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5622138381004333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398236513137817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5252261161804199},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5135345458984375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4917612373828888},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4841221272945404},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48334357142448425},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.48262056708335876},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47694841027259827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44362539052963257},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4358980059623718},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4329718351364136},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42349040508270264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3550722599029541},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33142396807670593},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2554321587085724}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6621110439300537},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5622138381004333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398236513137817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5252261161804199},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5135345458984375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4917612373828888},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4841221272945404},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48334357142448425},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.48262056708335876},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47694841027259827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44362539052963257},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4358980059623718},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4329718351364136},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42349040508270264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3550722599029541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33142396807670593},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2554321587085724},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009716","descriptor_name":"Numerical Analysis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009716","descriptor_name":"Numerical Analysis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009716","descriptor_name":"Numerical Analysis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":8,"locations":[{"id":"doi:10.1109/tpami.2004.1262179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2004.1262179","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:15376893","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15376893","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:repository.upenn.edu:cis_papers-1035","is_oa":false,"landing_page_url":"https://repository.upenn.edu/cis_papers/36","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Papers (CIS)","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.2967","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.2967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/Research/Projects/CS/vision/stellayu//doc/01262179.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.398.5969","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.5969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~xingyu/papers/yu_bias.pdf","raw_type":"text"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt96r039nw","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/96r039nw","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 26, iss 2","raw_type":"article"},{"id":"pmh:oai:repository.upenn.edu:20.500.14332/6402","is_oa":false,"landing_page_url":"https://repository.upenn.edu/handle/20.500.14332/6402","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"published","raw_type":"Article"},{"id":"pmh:qt96r039nw","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/96r039nw","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yu, Stella X; &amp; Shi, Jianbo. (2004). Segmentation given partial grouping constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2), 173 - 183. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/96r039nw","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W178970226","https://openalex.org/W1530949933","https://openalex.org/W1598963550","https://openalex.org/W1640070940","https://openalex.org/W1649464328","https://openalex.org/W1741851583","https://openalex.org/W2014614335","https://openalex.org/W2020999234","https://openalex.org/W2087947388","https://openalex.org/W2096139825","https://openalex.org/W2097089247","https://openalex.org/W2097649450","https://openalex.org/W2098152234","https://openalex.org/W2101309634","https://openalex.org/W2105960416","https://openalex.org/W2107008379","https://openalex.org/W2115657355","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2122837498","https://openalex.org/W2134089414","https://openalex.org/W2135674549","https://openalex.org/W2140502500","https://openalex.org/W2141376824","https://openalex.org/W2148852318","https://openalex.org/W2148861411","https://openalex.org/W2152527808","https://openalex.org/W2153980837","https://openalex.org/W2161813919","https://openalex.org/W2168748350","https://openalex.org/W2171612090","https://openalex.org/W2913192828","https://openalex.org/W4210599947","https://openalex.org/W4244769743","https://openalex.org/W4251321576","https://openalex.org/W6633328910","https://openalex.org/W6675158099","https://openalex.org/W6676132248","https://openalex.org/W6678450398","https://openalex.org/W6679849079","https://openalex.org/W6682852096","https://openalex.org/W7039386316"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3041320102","https://openalex.org/W2071416974","https://openalex.org/W3129535607"],"abstract_inverted_index":{"We":[0,12,45,118,155],"consider":[1],"data":[2,28,53],"clustering":[3],"problems":[4,17],"where":[5,23,127],"partial":[6,36,58,128],"grouping":[7,16,34,37,47,59,129,173],"is":[8,161],"known":[9],"a":[10,19,33,43,80,106,137,171],"priori.":[11],"formulate":[13],"such":[14],"biased":[15],"as":[18],"constrained":[20,81],"optimization":[21],"problem,":[22],"structural":[24],"properties":[25],"of":[26,32,42],"the":[27,30,40,66,70,86,94,98,110,183],"define":[29,39],"goodness":[31],"and":[35,49,168],"cues":[38],"feasibility":[41],"grouping.":[44],"enforce":[46],"smoothness":[48],"fairness":[50],"on":[51,136,151],"labeled":[52],"points":[54],"so":[55],"that":[56,142,159,177],"sparse":[57],"information":[60],"can":[61,114,131,179],"be":[62,115,133,180],"effectively":[63],"propagated":[64],"to":[65,79,89,109,122,163],"unlabeled":[67],"data.":[68],"Considering":[69],"normalized":[71],"cuts":[72],"criterion":[73],"in":[74,97,170],"particular,":[75],"our":[76,120],"formulation":[77],"leads":[78],"eigenvalue":[82],"problem.":[83],"By":[84],"generalizing":[85],"Rayleigh-Ritz":[87],"theorem":[88],"projected":[90],"matrices,":[91],"we":[92],"find":[93],"global":[95],"optimum":[96,108],"relaxed":[99],"continuous":[100],"domain":[101],"by":[102],"eigendecomposition,":[103],"from":[104,182],"which":[105],"near-global":[107],"discrete":[111],"labeling":[112],"problem":[113],"obtained":[116],"effectively.":[117],"apply":[119],"method":[121],"real":[123],"image":[124,166],"segmentation":[125],"problems,":[126],"priors":[130,169],"often":[132],"derived":[134],"based":[135],"crude":[138],"spatial":[139],"attentional":[140],"map":[141],"binds":[143],"places":[144],"with":[145],"common":[146],"salient":[147],"features":[148],"or":[149],"focuses":[150],"expected":[152],"object":[153,187],"locations.":[154],"demonstrate":[156],"not":[157],"only":[158],"it":[160],"possible":[162],"integrate":[164],"both":[165],"structures":[167],"single":[172],"process,":[174],"but":[175],"also":[176],"objects":[178],"segregated":[181],"background":[184],"without":[185],"specific":[186],"knowledge.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":23},{"year":2012,"cited_by_count":16}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
