{"id":"https://openalex.org/W2114424909","doi":"https://doi.org/10.1109/icpr.2002.1047452","title":"The performance analysis of a Chi-square similarity measure for topic related clustering of noisy transcripts","display_name":"The performance analysis of a Chi-square similarity measure for topic related clustering of noisy transcripts","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2114424909","doi":"https://doi.org/10.1109/icpr.2002.1047452","mag":"2114424909"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5087837607","display_name":"Oktay V. Ibrahimov","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]},{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"O. Ibrahimov","raw_affiliation_strings":["Intelligent Information Engineering Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, USA","Department of Computer Science and Engineering, Oakland University, Rochester , MI, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Engineering Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, USA","institution_ids":["https://openalex.org/I177721651","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Oakland University, Rochester , MI, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085622001","display_name":"Ishwar K. Sethi","orcid":"https://orcid.org/0000-0002-2578-111X"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Sethi","raw_affiliation_strings":["Intelligent Information Engineering Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, USA","Department of Computer Science and Engineering, Oakland University, Rochester , MI, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Engineering Laboratory, Department of Computer Science & Engineering, Oakland University, Rochester, MI, USA","institution_ids":["https://openalex.org/I177721651","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Oakland University, Rochester , MI, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017119312","display_name":"Nevenka Dimitrova","orcid":"https://orcid.org/0000-0003-4091-9233"},"institutions":[{"id":"https://openalex.org/I4210133649","display_name":"Philips (India)","ror":"https://ror.org/0435vfk93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210133649"]},{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"N. Dimitrova","raw_affiliation_strings":["Philips Research, Briarcliff Manor, NY, USA","Philips Research"],"affiliations":[{"raw_affiliation_string":"Philips Research, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]},{"raw_affiliation_string":"Philips Research","institution_ids":["https://openalex.org/I4210133649"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087837607"],"corresponding_institution_ids":["https://openalex.org/I1343180700","https://openalex.org/I177721651","https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.2692,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59184845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"285","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9966999888420105,"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/jaccard-index","display_name":"Jaccard index","score":0.9577430486679077},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7649949789047241},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7605290412902832},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6955507397651672},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6708585023880005},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6414703726768494},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5865022540092468},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5814894437789917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5743331909179688},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5598437786102295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502328634262085},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45147836208343506},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4460867643356323},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40166833996772766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38695552945137024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3512178659439087},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3506658673286438},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2168002426624298}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9577430486679077},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7649949789047241},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7605290412902832},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6955507397651672},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6708585023880005},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6414703726768494},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5865022540092468},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5814894437789917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5743331909179688},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5598437786102295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502328634262085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45147836208343506},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4460867643356323},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40166833996772766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38695552945137024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3512178659439087},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506658673286438},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2168002426624298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":2,"locations":[{"id":"doi:10.1109/icpr.2002.1047452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.909.4922","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.909.4922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Ishwar_Sethi/publication/3974056_The_performance_analysis_of_a_Chi-square_similarity_measure_for_topic_related_clustering_of_noisy_transcripts/links/02e7e51c4912d031cf000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484670493","https://openalex.org/W1562697020","https://openalex.org/W1570542661","https://openalex.org/W1592509883","https://openalex.org/W2098162425","https://openalex.org/W2101409285","https://openalex.org/W2103265822","https://openalex.org/W2154087295","https://openalex.org/W2169238447","https://openalex.org/W2939083804","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3012828488","https://openalex.org/W2553941787","https://openalex.org/W4381948805","https://openalex.org/W4214483597","https://openalex.org/W4220978606","https://openalex.org/W4220894110","https://openalex.org/W4388145912","https://openalex.org/W3001325086","https://openalex.org/W2797255169","https://openalex.org/W4286850906"],"abstract_inverted_index":{"The":[0,29,44],"goal":[1],"of":[2,40,47,72,112,120],"the":[3,38,55,86,91,102,117,121],"paper":[4],"is":[5],"to":[6,36,60,84],"present":[7],"a":[8],"novel":[9],"Chi-square":[10,30,103],"similarity":[11,21,31,49],"measure":[12,32,50],"and":[13,27],"assess":[14],"its":[15],"performance":[16],"through":[17],"comparison":[18],"with":[19],"well-known":[20],"measures":[22],"such":[23],"as":[24],"Cosine,":[25],"Dice,":[26],"Jaccard.":[28],"has":[33],"been":[34,82],"designed":[35],"withstand":[37],"imperfections":[39],"transcribed":[41,113],"spoken":[42],"documents.":[43,96],"major":[45],"difference":[46],"our":[48],"from":[51],"others":[52],"consists":[53],"in":[54,58,65,94],"fact":[56],"that":[57,77],"addition":[59],"searching":[61],"for":[62],"co-occurring":[63,78],"words":[64],"documents,":[66],"we":[67,100],"also":[68],"match":[69],"informative":[70],"closeness":[71],"common":[73],"words.":[74],"We":[75],"assume":[76],"words,":[79],"which":[80],"had":[81],"employed":[83],"convey":[85],"same":[87],"information,":[88],"should":[89],"have":[90],"compatible":[92],"significance":[93],"matching":[95],"To":[97],"test":[98],"it":[99],"apply":[101],"method.":[104],"Experimental":[105],"results":[106],"obtained":[107],"via":[108],"using":[109],"an":[110],"archive":[111],"news":[114],"broadcasts":[115],"demonstrate":[116],"high":[118],"efficacy":[119],"proposed":[122],"methodology.":[123]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
