{"id":"https://openalex.org/W2143880267","doi":"https://doi.org/10.1109/icpr.2002.1047857","title":"Introducing termination probabilities to HMM","display_name":"Introducing termination probabilities to HMM","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2143880267","doi":"https://doi.org/10.1109/icpr.2002.1047857","mag":"2143880267"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047857","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/A5086569517","display_name":"Yousef Al-Ohali","orcid":"https://orcid.org/0000-0002-4228-7199"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Y. Al-Ohali","raw_affiliation_strings":["CENPARMI, Concordia University, Montreal, QUE, Canada","CENPARMI, Concordia University, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, Que., Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Cheriet","raw_affiliation_strings":["LNIA Laboratory, \u00c9cole de Technologie Sup\u00e9rieure, University of Qu\u00e9bec, Montreal, QUE, Canada","University of Qu?bec"],"affiliations":[{"raw_affiliation_string":"LNIA Laboratory, \u00c9cole de Technologie Sup\u00e9rieure, University of Qu\u00e9bec, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"University of Qu?bec","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109871644","display_name":"C.Y. Suen","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"C.Y. Suen","raw_affiliation_strings":["CENPARMI, Concordia University, Montreal, QUE, Canada","Concordia University,"],"affiliations":[{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia University,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086569517"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":1.3708,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85386212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"319","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9975000023841858,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9943000078201294,"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/T10320","display_name":"Neural Networks and Applications","score":0.9897000193595886,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.967647910118103},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8384528160095215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7292735576629639},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.5896115899085999},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5456876754760742},{"id":"https://openalex.org/keywords/forward-algorithm","display_name":"Forward algorithm","score":0.49097898602485657},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.48340073227882385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45718735456466675},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4554034471511841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4196368157863617},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.41840866208076477},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4150259494781494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3648858666419983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3049826920032501},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.30293014645576477}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.967647910118103},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8384528160095215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7292735576629639},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.5896115899085999},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5456876754760742},{"id":"https://openalex.org/C196455857","wikidata":"https://www.wikidata.org/wiki/Q5473264","display_name":"Forward algorithm","level":5,"score":0.49097898602485657},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.48340073227882385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45718735456466675},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4554034471511841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4196368157863617},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.41840866208076477},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4150259494781494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3648858666419983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3049826920032501},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.30293014645576477},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1047857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047857","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1987525689","https://openalex.org/W2048641976","https://openalex.org/W2101321961","https://openalex.org/W2114396311","https://openalex.org/W2125838338","https://openalex.org/W2131718092","https://openalex.org/W2137743578","https://openalex.org/W2149319679"],"related_works":["https://openalex.org/W2382132287","https://openalex.org/W2161328464","https://openalex.org/W1510894296","https://openalex.org/W2379333870","https://openalex.org/W4302561434","https://openalex.org/W2738224259","https://openalex.org/W2361306765","https://openalex.org/W2389824789","https://openalex.org/W1542903750","https://openalex.org/W2134386692"],"abstract_inverted_index":{"HMM":[0,48],"is":[1,63],"very":[2],"well":[3],"suited":[4],"to":[5,19,53],"model":[6,23],"sequential":[7],"patterns.":[8],"This":[9,42],"paper":[10],"introduces":[11],"a":[12,20,29],"new":[13,26],"parameter,":[14],"called":[15],"the":[16,33,37,44,51,55,68],"termination":[17],"probability,":[18],"hidden":[21],"Markov":[22],"(HMM).":[24],"The":[25],"parameter":[27],"provides":[28],"better":[30],"initialization":[31],"for":[32],"backward":[34],"variable":[35],"during":[36],"training":[38],"and":[39],"evaluation":[40],"phases.":[41],"improves":[43],"discriminatory":[45],"power":[46],"of":[47],"by":[49,72],"allowing":[50],"system":[52],"judge":[54],"input":[56],"observation":[57],"sequence":[58],"based":[59],"on":[60],"where":[61],"it":[62],"completed.":[64],"Experimental":[65],"results":[66],"show":[67],"improvement":[69],"was":[70],"achieved":[71],"this":[73],"parameter.":[74]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}