{"id":"https://openalex.org/W1989546639","doi":"https://doi.org/10.1109/icics.2011.6173608","title":"Utilizing region cardinality and dependency for object categorization in non-parametric Bayesian framework","display_name":"Utilizing region cardinality and dependency for object categorization in non-parametric Bayesian framework","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W1989546639","doi":"https://doi.org/10.1109/icics.2011.6173608","mag":"1989546639"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2011.6173608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6173608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","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/A5065167751","display_name":"Kristo","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kristo","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","School of Electrical and Electronic Engineering Nanyang Technological University (NTU)  Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering Nanyang Technological University (NTU)  Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103476687","display_name":"Chin Seng Chua","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chin Seng Chua","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","School of Electrical and Electronic Engineering Nanyang Technological University (NTU)  Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering Nanyang Technological University (NTU)  Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065167751"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06802334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987000226974487,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9970999956130981,"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/categorization","display_name":"Categorization","score":0.7735925912857056},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7473479509353638},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.7398226261138916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717982292175293},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6354239583015442},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6047094464302063},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5982365608215332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342255234718323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33241790533065796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32314687967300415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22056633234024048},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12610119581222534}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7735925912857056},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7473479509353638},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.7398226261138916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717982292175293},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6354239583015442},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6047094464302063},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5982365608215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342255234718323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33241790533065796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32314687967300415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22056633234024048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12610119581222534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2011.6173608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6173608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1699734612","https://openalex.org/W1949116567","https://openalex.org/W2084660905","https://openalex.org/W2102680763","https://openalex.org/W2124386111","https://openalex.org/W2154422044","https://openalex.org/W2158266063","https://openalex.org/W2164304065","https://openalex.org/W6640791922","https://openalex.org/W6675171285","https://openalex.org/W6684138402"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"The":[0,182],"\u201cbag":[1,69],"of":[2,12,47,70,106,119,126,131,138,153,165,171,184,201],"words\u201d":[3],"model":[4,36,79,103,197],"has":[5,37],"enjoyed":[6],"much":[7],"attention":[8],"in":[9,44,93,168,209],"the":[10,18,20,48,68,83,90,99,104,107,117,120,124,135,154,163,169,172,177,186,199,211,218],"studies":[11],"object":[13,50,76],"categorization.":[14,77],"As":[15],"implied":[16],"by":[17,113],"name,":[19],"images":[21,143],"under":[22],"consideration":[23],"are":[24,215],"modeled":[25],"as":[26,65,134,188],"a":[27,151,206],"bag":[28],"containing":[29],"multiple":[30],"features.":[31],"Despite":[32],"its":[33],"simplicity,":[34],"this":[35,54,94,159],"been":[38],"able":[39],"to":[40,81,122,175],"achieve":[41],"great":[42],"performances":[43],"many":[45],"state":[46],"art":[49],"categorization":[51],"datasets.":[52,220],"Using":[53],"model,":[55],"we":[56,96,161],"extract":[57],"patches":[58,121,203],"from":[59,190],"an":[60],"image":[61],"and":[62,102,144,179],"categorize":[63],"them":[64],"codewords,":[66],"forming":[67],"words\u201d,":[71],"which":[72,87,146],"then":[73],"used":[74],"for":[75],"This":[78,129],"tends":[80],"assume":[82],"independence":[84,100],"between":[85],"patches,":[86],"greatly":[88],"reduces":[89],"complexity.":[91],"However,":[92],"paper":[95],"take":[97],"out":[98],"assumption":[101],"dependencies":[105],"local":[108],"regions.":[109],"We":[110],"move":[111],"further":[112],"taking":[114],"into":[115],"account":[116],"cardinality":[118,167],"reduce":[123],"effect":[125],"noise":[127,202],"patches.":[128],"collection":[130],"codewords":[132],"acts":[133],"building":[136],"block":[137],"latent":[139,173],"themes":[140,174],"shared":[141],"among":[142],"categories,":[145],"distribution":[147],"is":[148],"learnt":[149],"using":[150],"variation":[152],"Hierarchical":[155],"Dirichlet":[156],"Process.":[157],"In":[158],"paper,":[160],"introduce":[162],"contribution":[164],"region":[166],"linkage":[170],"improve":[176],"learning":[178],"detection":[180],"performance.":[181],"result":[183],"modeling":[185],"image,":[187],"obtained":[189],"our":[191,195],"experiment,":[192],"shows":[193],"that":[194],"proposed":[196],"handles":[198],"presence":[200],"robustly":[204],"with":[205],"more":[207],"discriminative":[208],"categorizing":[210],"objects.":[212],"All":[213],"experiments":[214],"executed":[216],"on":[217],"Caltech-4":[219]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
