{"id":"https://openalex.org/W2188108786","doi":null,"title":"Structured graphical models for unsupervised image segmentation","display_name":"Structured graphical models for unsupervised image segmentation","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2188108786","mag":"2188108786"},"language":"en","primary_location":{"id":"mag:2188108786","doi":null,"is_oa":false,"landing_page_url":"https://ufdcimages.uflib.ufl.edu/UF/E0/04/36/04/00001/KAMPA_K.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5019504861","display_name":"Jos\u00e9 Carlos Pr\u00edncipe","orcid":"https://orcid.org/0000-0002-3449-3531","observed_orcids":["https://orcid.org/0000-0002-3449-3531"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","raw_affiliation_strings":["University of Florida"],"raw_orcid":"https://orcid.org/0000-0002-3449-3531","affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054816662","display_name":"Kittipat Kampa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kittipat Kampa","raw_affiliation_strings":["University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9204000234603882,"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":0.9204000234603882,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.0494999997317791,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.017000000923871994,"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/unsupervised-image-segmentation","display_name":"unsupervised image segmentation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/superpixels","display_name":"superpixels","score":0.7160000205039978},{"id":"https://openalex.org/keywords/hierarchical-segmentation","display_name":"hierarchical segmentation","score":0.8870000243186951},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.8370000123977661},{"id":"https://openalex.org/keywords/expectation-maximization-estimation","display_name":"expectation-maximization estimation","score":0.7590000033378601},{"id":"https://openalex.org/keywords/sum-product-algorithm","display_name":"sum-product algorithm","score":0.9919999837875366},{"id":"https://openalex.org/keywords/contour-detection","display_name":"contour detection","score":0.7160000205039978},{"id":"https://openalex.org/keywords/multiscale-segmentation","display_name":"multi-scale segmentation","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6885467171669006},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6439839601516724},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6314125061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197754144668579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.605845034122467},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5879456400871277},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5756478905677795},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5568997263908386},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5339585542678833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505774736404419},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4944324493408203},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.47228366136550903},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4703678786754608},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4197942912578583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4061627686023712},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17424556612968445},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.08943337202072144},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2188108786","doi":null,"is_oa":false,"landing_page_url":"https://ufdcimages.uflib.ufl.edu/UF/E0/04/36/04/00001/KAMPA_K.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W16865847","https://openalex.org/W32267187","https://openalex.org/W144603120","https://openalex.org/W1484228140","https://openalex.org/W1486632395","https://openalex.org/W1506281249","https://openalex.org/W1517993545","https://openalex.org/W1528056001","https://openalex.org/W1537656399","https://openalex.org/W1592305655","https://openalex.org/W1644054796","https://openalex.org/W1663973292","https://openalex.org/W1677409904","https://openalex.org/W1755360231","https://openalex.org/W1819734631","https://openalex.org/W1973041621","https://openalex.org/W1999478155","https://openalex.org/W1999975077","https://openalex.org/W2002260165","https://openalex.org/W2008906462","https://openalex.org/W2015245929","https://openalex.org/W2020999234","https://openalex.org/W2024060531","https://openalex.org/W2030051553","https://openalex.org/W2030536784","https://openalex.org/W2030935194","https://openalex.org/W2033336992","https://openalex.org/W2033823878","https://openalex.org/W2035827724","https://openalex.org/W2043776416","https://openalex.org/W2049549449","https://openalex.org/W2049633694","https://openalex.org/W2054279472","https://openalex.org/W2067191022","https://openalex.org/W2073984999","https://openalex.org/W2074701880","https://openalex.org/W2086962750","https://openalex.org/W2095844239","https://openalex.org/W2098228235","https://openalex.org/W2101897555","https://openalex.org/W2104125540","https://openalex.org/W2106624428","https://openalex.org/W2107084071","https://openalex.org/W2107402720","https://openalex.org/W2107588225","https://openalex.org/W2108344269","https://openalex.org/W2108874030","https://openalex.org/W2109513571","https://openalex.org/W2110158442","https://openalex.org/W2110248298","https://openalex.org/W2111560940","https://openalex.org/W2115193009","https://openalex.org/W2115823593","https://openalex.org/W2116834004","https://openalex.org/W2117415404","https://openalex.org/W2118388220","https://openalex.org/W2119531662","https://openalex.org/W2119823327","https://openalex.org/W2120294885","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2123579313","https://openalex.org/W2124189704","https://openalex.org/W2124225592","https://openalex.org/W2125662744","https://openalex.org/W2128554449","https://openalex.org/W2130524297","https://openalex.org/W2133267925","https://openalex.org/W2134383396","https://openalex.org/W2134929491","https://openalex.org/W2137518016","https://openalex.org/W2137813581","https://openalex.org/W2138173515","https://openalex.org/W2140681449","https://openalex.org/W2141729166","https://openalex.org/W2142194269","https://openalex.org/W2143864104","https://openalex.org/W2146855196","https://openalex.org/W2147625498","https://openalex.org/W2148820580","https://openalex.org/W2149095841","https://openalex.org/W2150440166","https://openalex.org/W2150593711","https://openalex.org/W2151103935","https://openalex.org/W2151658918","https://openalex.org/W2152942156","https://openalex.org/W2154027563","https://openalex.org/W2154495931","https://openalex.org/W2154897897","https://openalex.org/W2159069738","https://openalex.org/W2159080219","https://openalex.org/W2160586919","https://openalex.org/W2161597143","https://openalex.org/W2161891882","https://openalex.org/W2161969291","https://openalex.org/W2162253476","https://openalex.org/W2163166770","https://openalex.org/W2165874743","https://openalex.org/W2166471602","https://openalex.org/W2166502676","https://openalex.org/W2170396296","https://openalex.org/W2170877068","https://openalex.org/W2172085063","https://openalex.org/W2175160295","https://openalex.org/W2335915014","https://openalex.org/W2533739470","https://openalex.org/W2799061466","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2138271399","https://openalex.org/W2135612628","https://openalex.org/W2568090625","https://openalex.org/W7100248089","https://openalex.org/W2125662744","https://openalex.org/W7095315513","https://openalex.org/W4394859264","https://openalex.org/W2248291564","https://openalex.org/W2770655971","https://openalex.org/W7095562625"],"abstract_inverted_index":{"In":[0],"the":[1,5,101,139,146,160,180,189,193,198,204,209,222,234,242,250,253,257,262,269,273,287,298,302,323,326,344],"dissertation,":[2],"we":[3,211],"seek":[4],"following":[6],"goals:":[7],"(1)":[8],"to":[9,26,34,41,114,184,208,248,297],"come":[10],"up":[11],"with":[12,37,203,259,278,295,322],"a":[13,28,45,51,80,96,109,116,125,129,246,310],"probabilistic":[14,53,136],"graphical":[15,54],"model":[16,55,258,277],"framework":[17,319],"for":[18,56],"unsupervised":[19,58,149,329],"segmentation":[20,36,133,151,173,216,235,254,271,300,331],"on":[21,100,159],"structured":[22],"data,":[23],"and":[24,31,70,94,260,306,332],"(2)":[25],"find":[27],"computationally":[29],"efficient":[30],"reliable":[32],"solution":[33],"image":[35,59,78,91,150,172,312,330],"superpixels":[38,93,104],"as":[39,115,155],"opposed":[40],"pixels.":[42],"\r\nWe":[43,290],"develop":[44],"Data-Driven":[46],"Tree-structured":[47],"Bayesian":[48],"network":[49],"(DDT),":[50],"novel":[52],"hierarchical":[57],"segmentation.":[60],"Like":[61],"tree-structure":[62,230],"belief":[63],"networks":[64],"(TSBNs),":[65],"DDT":[66,86,161],"captures":[67],"both":[68],"long":[69],"short-ranged":[71],"correlations":[72],"between":[73,256],"neighboring":[74],"regions":[75],"in":[76,105,145,188,280,301,328],"each":[77,185],"using":[79,197],"tree-structured":[81,97,263],"prior.":[82],"Unlike":[83],"other":[84],"approaches,":[85],"first":[87],"segments":[88],"an":[89,156],"input":[90],"into":[92],"learns":[95],"prior":[98,231,264],"based":[99],"topology":[102],"of":[103,132,325,337,346],"different":[106],"scales.":[107],"Such":[108],"tree":[110,118],"structure":[111,162],"is":[112,122],"referred":[113],"data-driven":[117],"structure.":[119],"Each":[120],"superpixel":[121,243],"represented":[123,142],"by":[124,143,178],"variable":[126,186],"node":[127,187],"taking":[128],"discrete":[130],"value":[131],"class/label.":[134],"The":[135,170,229,276],"relationships":[137],"among":[138],"nodes":[140],"are":[141],"edges":[144],"network.":[147,190],"Hence,":[148],"can":[152,165,175],"be":[153,166,176,245,266,341],"viewed":[154],"inference":[157],"problem":[158],"nodes,":[163],"which":[164],"carried":[167],"out":[168],"efficiently.":[169],"end":[171],"result":[174],"obtained":[177],"applying":[179],"maximum":[181],"posterior":[182],"marginal":[183],"We":[191],"provide":[192],"parameter":[194],"estimation":[195],"regime":[196],"Expectation-Maximization":[199],"(EM)":[200],"algorithm":[201],"combined":[202],"sum-product":[205],"algorithm.\r\nWith":[206],"respect":[207,296],"objectives,":[210],"hypothesize":[212],"that":[213,316],"1)":[214],"Hierarchical":[215],"gives":[217,283],"more":[218],"meaningful":[219],"results":[220,223,285,294],"than":[221,272,286],"from":[224],"only":[225],"one":[226,288],"scale;":[227],"2)":[228],"would":[232,244,265],"smooth":[233,249],"results,":[236],"yielding":[237],"better":[238,284],"segmentation;":[239],"3)":[240],"Exploiting":[241],"way":[247],"segmentation,":[251],"so":[252],"differences":[255],"without":[261],"less":[267],"at":[268],"superpixel-level":[270],"pixel-level;":[274],"4)":[275],"evidence":[279],"all":[281],"scales":[282],"without.":[289],"evaluate":[291],"quantitatively":[292],"our":[293,317],"ground-truth":[299],"Berkeley":[303],"Segmentation":[304],"Dataset":[305],"Benchmark":[307],"500":[308],"(BSDS500),":[309],"well-known":[311],"database":[313],"benchmark,":[314],"demonstrating":[315],"proposed":[318],"performs":[320],"competitively":[321],"state":[324],"art":[327],"contour":[333],"detection.":[334],"(Full":[335],"text":[336],"this":[338],"dissertation":[339],"may":[340],"available":[342],"via":[343],"University":[345],"Florida":[347],"Libraries":[348],"web":[349],"site.":[350],"Please":[351],"check":[352],"http://www.uflib.ufl.edu/etd.html)":[353]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
