{"id":"https://openalex.org/W2114816128","doi":"https://doi.org/10.1109/cvpr.2007.383404","title":"A Graph Cut Approach to Image Segmentation in Tensor Space","display_name":"A Graph Cut Approach to Image Segmentation in Tensor Space","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2114816128","doi":"https://doi.org/10.1109/cvpr.2007.383404","mag":"2114816128","pmid":"https://pubmed.ncbi.nlm.nih.gov/23680693"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2007.383404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2007.383404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/A5102972039","display_name":"James G. Malcolm","orcid":"https://orcid.org/0000-0002-7545-3069"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James Malcolm","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0250","Georgia Institute of Technology , Atlanta#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0250","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology , Atlanta#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037057278","display_name":"Yogesh Rathi","orcid":"https://orcid.org/0000-0002-9946-2314"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Rathi","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology , Atlanta#TAB#"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology , Atlanta#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012935165","display_name":"Allen Tannenbaum","orcid":"https://orcid.org/0000-0002-0567-5256"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Tannenbaum","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology , Atlanta#TAB#"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology , Atlanta#TAB#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102972039"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":6.2472,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96688092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9914000034332275,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5331124067306519},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5179333090782166},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5143722295761108},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4963422417640686},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.48161453008651733},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4797171950340271},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4206107556819916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.417500376701355},{"id":"https://openalex.org/keywords/tensor-field","display_name":"Tensor field","score":0.41348546743392944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3916633725166321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3776993751525879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33238619565963745},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23206019401550293},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.17449131608009338},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1637612283229828},{"id":"https://openalex.org/keywords/exact-solutions-in-general-relativity","display_name":"Exact solutions in general relativity","score":0.14802443981170654}],"concepts":[{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5331124067306519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5179333090782166},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5143722295761108},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4963422417640686},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.48161453008651733},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4797171950340271},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4206107556819916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.417500376701355},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.41348546743392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3916633725166321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3776993751525879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33238619565963745},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23206019401550293},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17449131608009338},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1637612283229828},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.14802443981170654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/cvpr.2007.383404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2007.383404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmid:23680693","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23680693","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:10.1.1.156.4731","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.4731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jgmalcolm.com/pubs/malcolm_tc.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.333.2564","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.2564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://smartech.gatech.edu/bitstream/handle/1853/29238/2007_IEEE_04.pdf;jsessionid=C061875B29ADE58B98F3D2F39A4E02E3.smart1?sequence=1","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.579.360","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.579.360","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/~ftorre/ca/ca_final_version/p24.pdf","raw_type":"text"},{"id":"pmh:oai:europepmc.org:2652241","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3653984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:smartech.gatech.edu:1853/29238","is_oa":false,"landing_page_url":"http://hdl.handle.net/1853/29238","pdf_url":null,"source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1501540518","https://openalex.org/W1531660685","https://openalex.org/W1558431342","https://openalex.org/W1785730614","https://openalex.org/W1895043247","https://openalex.org/W1947363732","https://openalex.org/W1964802316","https://openalex.org/W1977241131","https://openalex.org/W1983496390","https://openalex.org/W1984334616","https://openalex.org/W2044981864","https://openalex.org/W2048192550","https://openalex.org/W2097998671","https://openalex.org/W2105365768","https://openalex.org/W2107018568","https://openalex.org/W2108077184","https://openalex.org/W2119300483","https://openalex.org/W2120259577","https://openalex.org/W2123491786","https://openalex.org/W2124351162","https://openalex.org/W2147469781","https://openalex.org/W2169551590","https://openalex.org/W2342239267","https://openalex.org/W4248635988","https://openalex.org/W6630055994","https://openalex.org/W6633290986","https://openalex.org/W6638212498","https://openalex.org/W6646494760","https://openalex.org/W6704384880"],"related_works":["https://openalex.org/W2060415987","https://openalex.org/W1603796495","https://openalex.org/W2018273323","https://openalex.org/W4235074964","https://openalex.org/W2158810451","https://openalex.org/W336908258","https://openalex.org/W4313033631","https://openalex.org/W1887380982","https://openalex.org/W2070502419","https://openalex.org/W3095959603"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,37,114,119],"novel":[4],"method":[5],"to":[6,13,36,97,124],"apply":[7],"the":[8,23,34,46,73,77,93,102,110,127],"standard":[9],"graph":[10,66,115],"cut":[11,116],"technique":[12],"segmenting":[14],"multimodal":[15],"tensor":[16,24,78,99],"valued":[17],"images.":[18],"The":[19],"Riemannian":[20,83],"nature":[21],"of":[22,45,76],"space":[25,39],"is":[26],"explicitly":[27],"taken":[28],"into":[29],"account":[30],"by":[31,80],"first":[32],"mapping":[33],"data":[35,79,128],"Euclidean":[38],"where":[40],"non-parametric":[41,94],"kernel":[42],"density":[43],"estimates":[44],"regional":[47,62],"distributions":[48,57],"may":[49],"be":[50],"calculated":[51],"from":[52],"user":[53],"initialized":[54],"regions.":[55],"These":[56],"are":[58],"then":[59],"used":[60],"as":[61],"priors":[63],"in":[64,85,106,113],"calculating":[65,86],"edge":[67],"weights.":[68],"Hence":[69],"this":[70],"approach":[71],"utilizes":[72],"true":[74],"variation":[75],"respecting":[81],"its":[82],"structure":[84],"distances":[87],"when":[88],"forming":[89],"probability":[90],"distributions.":[91],"Further,":[92],"model":[95],"generalizes":[96],"arbitrary":[98],"distribution":[100],"unlike":[101],"Gaussian":[103],"assumption":[104],"made":[105],"previous":[107],"works.":[108],"Casting":[109],"segmentation":[111,120],"problem":[112],"framework":[117],"yields":[118],"robust":[121],"with":[122],"respect":[123],"initialization":[125],"on":[126],"tested.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}