{"id":"https://openalex.org/W2100954520","doi":"https://doi.org/10.1109/icip.2005.1529970","title":"Image content annotation using Bayesian framework and complement components analysis","display_name":"Image content annotation using Bayesian framework and complement components analysis","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2100954520","doi":"https://doi.org/10.1109/icip.2005.1529970","mag":"2100954520"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1529970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},"type":"article","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/A5101194316","display_name":"Changbo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Changbo Yang","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA","Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113658278","display_name":"Ming Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA","Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029757563","display_name":"Farshad Fotouhi","orcid":"https://orcid.org/0000-0002-9643-4545"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. Fotouhi","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA","Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]},{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI USA#TAB#","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101194316"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":1.4687,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83663909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"1193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9789999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.7723156213760376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7426472306251526},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7411389946937561},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7057551145553589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6456958651542664},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.596437931060791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5782623291015625},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5781702399253845},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5769631266593933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5527827739715576},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.543222963809967},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5099657773971558},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3974772095680237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3414066433906555}],"concepts":[{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.7723156213760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426472306251526},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7411389946937561},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7057551145553589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456958651542664},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.596437931060791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5782623291015625},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5781702399253845},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5769631266593933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5527827739715576},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.543222963809967},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5099657773971558},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3974772095680237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3414066433906555},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1529970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1666447063","https://openalex.org/W2137918516","https://openalex.org/W2149364056","https://openalex.org/W2156336347","https://openalex.org/W2165285791","https://openalex.org/W2283195891","https://openalex.org/W6637249095","https://openalex.org/W6682065527"],"related_works":["https://openalex.org/W2566406229","https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2152482390","https://openalex.org/W2376984068","https://openalex.org/W2076896210","https://openalex.org/W2365617273","https://openalex.org/W2506386910","https://openalex.org/W2117928543"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,47],"consider":[4],"image":[5,11],"annotation":[6,78],"as":[7,19],"a":[8,20,27],"problem":[9],"of":[10,70,77],"classification,":[12],"in":[13,39,56,75],"which":[14],"each":[15],"keyword":[16],"is":[17],"treated":[18],"distinct":[21],"class":[22,53],"label.":[23],"We":[24,66],"then":[25],"build":[26],"Bayesian":[28],"model":[29],"to":[30,50],"solve":[31],"the":[32,37,40,45,52,57,68],"classification":[33],"problem.":[34],"To":[35],"preserve":[36],"in-variation":[38],"training":[41],"data":[42],"and":[43,80],"reduce":[44],"noises,":[46],"also":[48],"propose":[49],"estimate":[51],"conditional":[54],"probabilities":[55],"feature":[58],"subspace":[59],"constructed":[60],"by":[61],"complement":[62],"components":[63],"analysis":[64],"(CCA).":[65],"demonstrate":[67],"effectiveness":[69],"our":[71],"approach":[72],"through":[73],"experiments":[74],"terms":[76],"precision":[79],"recall.":[81]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}