{"id":"https://openalex.org/W2108866193","doi":"https://doi.org/10.1109/icme.2005.1521430","title":"Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification","display_name":"Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2108866193","doi":"https://doi.org/10.1109/icme.2005.1521430","mag":"2108866193"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066500435","display_name":"Ninad Thakoor","orcid":"https://orcid.org/0000-0002-0540-9249"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Thakoor","raw_affiliation_strings":["Electrical Engineering, University of Texas, Arlington, Arlington, TX, USA","Dept. of Electr. Eng., Texas Univ., Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Texas Univ., Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085598142","display_name":"Sungyong Jung","orcid":"https://orcid.org/0000-0002-0749-0394"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungyong Jung","raw_affiliation_strings":["Electrical Engineering, University of Texas, Arlington, Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015128288","display_name":"Jean Gao","orcid":"https://orcid.org/0000-0002-9077-7803"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Gao","raw_affiliation_strings":["Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA","Computer Science and Engineering, University of Texas Arlington,Arlington,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Texas Arlington,Arlington,TX,USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.2566,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49331022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.998199999332428,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9947999715805054,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.781838059425354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.732958197593689},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.704952597618103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6264596581459045},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5891008377075195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5799578428268433},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5576404333114624},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.5085526704788208},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4527485966682434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38744020462036133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3083600401878357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29603463411331177},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.23622292280197144}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.781838059425354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.732958197593689},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.704952597618103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6264596581459045},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5891008377075195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5799578428268433},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5576404333114624},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.5085526704788208},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4527485966682434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38744020462036133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3083600401878357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29603463411331177},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.23622292280197144}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2005.1521430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.336.5231","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.336.5231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cecs.uci.edu/~papers/icme05/defevent/papers/cr1233.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.9234","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.9234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://visionlab.uta.edu/~ninad/Papers/ICME2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1797861140","https://openalex.org/W2031102306","https://openalex.org/W2100672041","https://openalex.org/W2104271356","https://openalex.org/W2105709603","https://openalex.org/W2108556791","https://openalex.org/W2110467295","https://openalex.org/W2112074894","https://openalex.org/W2120670709","https://openalex.org/W2125838338","https://openalex.org/W2133972360","https://openalex.org/W2141262001","https://openalex.org/W2165880886","https://openalex.org/W2170452183","https://openalex.org/W2170640451","https://openalex.org/W2895489344"],"related_works":["https://openalex.org/W4238888834","https://openalex.org/W2075660794","https://openalex.org/W2544441948","https://openalex.org/W1534459252","https://openalex.org/W1964346966","https://openalex.org/W4211127546","https://openalex.org/W2162393942","https://openalex.org/W2025089370","https://openalex.org/W2065762487","https://openalex.org/W4254109204"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,151],"this":[3,77],"communication":[4],"is":[5,27,39,111],"to":[6,57,87,92],"present":[7,80],"a":[8,64,69,81,94,106],"weighted":[9,107],"likelihood":[10,108],"discriminant":[11,95,109],"for":[12,42,146],"minimum":[13,98],"error":[14,123],"shape":[15,74],"classification.":[16],"Different":[17],"from":[18,33,54],"traditional":[19],"Maximum":[20],"Likelihood":[21],"(ML)":[22],"methods":[23],"in":[24,149],"which":[25],"classification":[26,59,99,122,152],"carried":[28],"out":[29],"based":[30,72,119],"on":[31],"probabilities":[32],"independent":[34],"individual":[35],"class":[36],"models":[37],"as":[38,68],"the":[40,89],"case":[41],"general":[43],"hidden":[44,126],"Markov":[45,66,127],"model":[46,128],"(HMM)":[47],"methods,":[48],"our":[49,116,140],"proposed":[50],"method":[51,86],"utilizes":[52],"information":[53],"all":[55],"classes":[56],"minimize":[58],"error.":[60,100],"Proposed":[61],"approach":[62,141],"uses":[63],"Hidden":[65],"Model":[67],"curvature":[70,90],"feature":[71],"2D":[73],"descriptor.":[75],"In":[76,101],"contribution":[78],"we":[79],"Generalized":[82],"Probabilistic":[83],"Descent":[84],"(GPD)":[85],"weight":[88],"likelihoods":[91],"achieve":[93],"function":[96,110],"with":[97,103,129,139],"contrast":[102],"other":[104],"approaches,":[105],"introduced.":[112],"We":[113,134],"believe":[114],"that":[115],"sound":[117],"theory":[118],"implementation":[120],"reduces":[121],"by":[124],"combining":[125],"generalized":[130],"probabilistic":[131],"descent":[132],"theory.":[133],"show":[135],"comparative":[136],"results":[137],"obtained":[138],"and":[142],"classic":[143],"maximum-likelihood":[144],"calculation":[145],"fighter":[147],"planes":[148],"terms":[150],"accuracies.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
