{"id":"https://openalex.org/W2132750281","doi":"https://doi.org/10.1109/afgr.2004.1301598","title":"Canonical sequence extraction and HMM model building based on hierarchical clustering","display_name":"Canonical sequence extraction and HMM model building based on hierarchical clustering","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W2132750281","doi":"https://doi.org/10.1109/afgr.2004.1301598","mag":"2132750281"},"language":"en","primary_location":{"id":"doi:10.1109/afgr.2004.1301598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afgr.2004.1301598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.","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/A5111460846","display_name":"Gengyu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Gengyu","raw_affiliation_strings":["Institute of HCIMI, Tsinghua University, Beijing, China","Inst. of HCIMI, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of HCIMI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Inst. of HCIMI, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100296137","display_name":"Xueyin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Xueyin","raw_affiliation_strings":["Institute of HCIMI, Tsinghua University, Beijing, China","Inst. of HCIMI, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of HCIMI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Inst. of HCIMI, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111460846"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.6077,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90257396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"99","issue":null,"first_page":"595","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9983000159263611,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8183276653289795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6840284466743469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6744400858879089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663609504699707},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6530674695968628},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6432896852493286},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4896717369556427}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8183276653289795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6840284466743469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6744400858879089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663609504699707},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6530674695968628},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6432896852493286},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4896717369556427}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/afgr.2004.1301598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afgr.2004.1301598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1491220419","https://openalex.org/W1501500081","https://openalex.org/W1540859155","https://openalex.org/W1551198852","https://openalex.org/W1559780277","https://openalex.org/W2019359195","https://openalex.org/W2037989911","https://openalex.org/W2106745606","https://openalex.org/W2108793341","https://openalex.org/W2121947440","https://openalex.org/W2125838338","https://openalex.org/W2132875213","https://openalex.org/W2135624911","https://openalex.org/W2140000690","https://openalex.org/W2164715647","https://openalex.org/W2293741035","https://openalex.org/W4285719527","https://openalex.org/W6632976298","https://openalex.org/W6659833625","https://openalex.org/W6677945368","https://openalex.org/W6680241228","https://openalex.org/W6683994905"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W2164162849"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"an":[3],"HMM":[4],"based":[5],"hierarchical":[6,67],"clustering":[7,48,59,68],"method,":[8,73],"aiming":[9],"at":[10],"the":[11,22,27,40,46,74,82],"extraction":[12],"of":[13,24,31,42,57,95],"typical":[14,96],"temporal":[15],"sequences,":[16,44],"and":[17,69,81,99],"outliers":[18],"are":[19],"discarded":[20],"in":[21,60,76,92],"process":[23],"clustering.":[25],"After":[26],"Baum-Welch":[28],"training":[29],"step":[30],"HMM,":[32],"TWM":[33],"(transition":[34],"weighted":[35],"matrix)":[36],"is":[37,50,78,85,90],"used":[38,91],"as":[39],"features":[41],"sample":[43],"thus":[45],"original":[47],"problem":[49,56],"converted":[51],"to":[52],"a":[53,61],"relatively":[54,86],"easy":[55],"points":[58],"high":[62],"dimensional":[63],"space.":[64],"By":[65],"using":[66],"NCut":[70],"(normalized":[71],"cut)":[72],"unsteadiness":[75],"separation":[77],"efficiently":[79],"prevented":[80],"time":[83],"consuming":[84],"small.":[87],"The":[88],"method":[89],"unsupervised":[93],"learning":[94],"hand":[97],"gestures":[98],"facial":[100],"expressions.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}