{"id":"https://openalex.org/W2114466964","doi":"https://doi.org/10.1145/1390156.1390159","title":"Hierarchical kernel stick-breaking process for multi-task image analysis","display_name":"Hierarchical kernel stick-breaking process for multi-task image analysis","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2114466964","doi":"https://doi.org/10.1145/1390156.1390159","mag":"2114466964"},"language":"en","primary_location":{"id":"doi:10.1145/1390156.1390159","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102000125","display_name":"Qi An","orcid":"https://orcid.org/0000-0002-0300-6411"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi An","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038718363","display_name":"Chunping Wang","orcid":"https://orcid.org/0000-0002-3841-1919"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunping Wang","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018023536","display_name":"Ivo Shterev","orcid":"https://orcid.org/0000-0002-6804-2608"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivo Shterev","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746979","display_name":"Eric Wang","orcid":"https://orcid.org/0000-0002-4801-0772"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Wang","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108072328","display_name":"David B. Dunson","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David B. Dunson","raw_affiliation_strings":["Duke University, Durham, NC","Duke University Durham NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University Durham NC","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.979200005531311,"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/dirichlet-process","display_name":"Dirichlet process","score":0.7604924440383911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021961212158203},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6346563100814819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6042235493659973},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5986518263816833},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5963224768638611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5099107027053833},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.4850965738296509},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48232385516166687},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4690573513507843},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.46668916940689087},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44614923000335693},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4412546753883362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4043126702308655},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.37570446729660034},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.365700900554657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3480418026447296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2576696574687958},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.19880881905555725}],"concepts":[{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.7604924440383911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021961212158203},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6346563100814819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6042235493659973},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5986518263816833},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5963224768638611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5099107027053833},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4850965738296509},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48232385516166687},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4690573513507843},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46668916940689087},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44614923000335693},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4412546753883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4043126702308655},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.37570446729660034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.365700900554657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3480418026447296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2576696574687958},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.19880881905555725},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1390156.1390159","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.8041","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml2008.cs.helsinki.fi/papers/554.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.910.6117","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.910.6117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.ee.duke.edu/%7Elcarin/DP_KSBP_V15.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.921.1987","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.921.1987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.ee.duke.edu/%7Elcarin/DP_KSBP_ICML08_V8.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1560550898","https://openalex.org/W1975427826","https://openalex.org/W1992402718","https://openalex.org/W2062882942","https://openalex.org/W2069429561","https://openalex.org/W2072169887","https://openalex.org/W2078464983","https://openalex.org/W2099242680","https://openalex.org/W2099741732","https://openalex.org/W2105352479","https://openalex.org/W2109176692","https://openalex.org/W2110717342","https://openalex.org/W2112050062","https://openalex.org/W2115979064","https://openalex.org/W2120636621","https://openalex.org/W2124486835","https://openalex.org/W2127498532","https://openalex.org/W2131479143","https://openalex.org/W2133014420","https://openalex.org/W2138749749","https://openalex.org/W2151967501","https://openalex.org/W2154225359","https://openalex.org/W2158266063","https://openalex.org/W2165874743","https://openalex.org/W4245883374","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2939843948","https://openalex.org/W3121467232","https://openalex.org/W2393894849","https://openalex.org/W2107192713","https://openalex.org/W2027714503","https://openalex.org/W2544994990","https://openalex.org/W2950322393","https://openalex.org/W197558907","https://openalex.org/W2072169887","https://openalex.org/W1480783174"],"abstract_inverted_index":{"The":[0,35,84],"kernel":[1],"stick-breaking":[2],"process":[3,60],"(KSBP)":[4],"is":[5,39,45,54,88],"employed":[6],"to":[7,27,62,102],"segment":[8],"general":[9],"imagery,":[10],"imposing":[11],"the":[12,31,48,106],"condition":[13],"that":[14,20],"patches":[15],"(small":[16],"blocks":[17],"of":[18,37,93],"pixels)":[19],"are":[21,24,114],"spatially":[22],"proximate":[23],"more":[25],"likely":[26],"be":[28,74],"associated":[29,109],"with":[30,56],"same":[32],"cluster":[33],"(segment).":[34],"number":[36],"clusters":[38],"not":[40],"set":[41],"a":[42,57,91],"priori":[43],"and":[44,78,97,108],"inferred":[46],"from":[47],"hierarchical":[49],"Bayesian":[50,85,95],"model.":[51],"Further,":[52],"KSBP":[53],"integrated":[55],"shared":[58],"Dirichlet":[59],"prior":[61],"simultaneously":[63],"model":[64,107],"multiple":[65,82],"images,":[66],"inferring":[67],"their":[68],"inter-relationships.":[69],"This":[70],"latter":[71],"application":[72],"may":[73],"useful":[75],"for":[76,116],"sorting":[77],"learning":[79],"relationships":[80],"between":[81],"images.":[83],"inference":[86,110],"algorithm":[87],"based":[89],"on":[90,105],"hybrid":[92],"variational":[94],"analysis":[96],"local":[98],"sampling.":[99],"In":[100],"addition":[101],"providing":[103],"details":[104],"framework,":[111],"example":[112],"results":[113],"presented":[115],"several":[117],"image-analysis":[118],"problems.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}