{"id":"https://openalex.org/W2171872943","doi":"https://doi.org/10.1109/icpr.2008.4761060","title":"Optimal feature weighting for the discrete HMM","display_name":"Optimal feature weighting for the discrete HMM","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2171872943","doi":"https://doi.org/10.1109/icpr.2008.4761060","mag":"2171872943"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761060","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5018009270","display_name":"Oualid Missaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Oualid Missaoui","raw_affiliation_strings":["CECS dept, University of Louisville"],"affiliations":[{"raw_affiliation_string":"CECS dept, University of Louisville","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044691751","display_name":"Hichem Frigui","orcid":"https://orcid.org/0000-0002-8281-1629"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hichem Frigui","raw_affiliation_strings":["CECS dept, University of Louisville"],"affiliations":[{"raw_affiliation_string":"CECS dept, University of Louisville","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018009270"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":1.4291,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80662983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6553","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9939000010490417,"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":0.9843000173568726,"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/linear-subspace","display_name":"Linear subspace","score":0.7813171148300171},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7576005458831787},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7345992922782898},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7045745849609375},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6474031805992126},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6443387269973755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6056935787200928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5455954670906067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5149622559547424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43323737382888794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42696547508239746}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7813171148300171},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7576005458831787},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7345992922782898},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7045745849609375},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6474031805992126},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6443387269973755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6056935787200928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455954670906067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5149622559547424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43323737382888794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42696547508239746},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761060","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.791","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoBT9.20.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W23418094","https://openalex.org/W190437827","https://openalex.org/W1491458120","https://openalex.org/W1531905615","https://openalex.org/W1536864280","https://openalex.org/W1823409095","https://openalex.org/W1829217008","https://openalex.org/W2013570924","https://openalex.org/W2022929744","https://openalex.org/W2039537889","https://openalex.org/W2104153163","https://openalex.org/W2121486117","https://openalex.org/W2125838338","https://openalex.org/W2128732469","https://openalex.org/W2153232459","https://openalex.org/W2154728678","https://openalex.org/W6607693206","https://openalex.org/W6921956995"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"We":[0,13,71],"propose":[1],"a":[2,8,43,82,92],"modified":[3],"discrete":[4],"HMM":[5],"that":[6,15,24],"includes":[7],"feature":[9,17],"weighting":[10],"discrimination":[11],"component.":[12],"assume":[14],"the":[16,25,29,34,37,64,86,100,106,110,114,135],"space":[18],"is":[19,57,79,89,121],"partitioned":[20],"into":[21],"subspaces":[22,31],"and":[23,36,67,104,113,125],"relevance":[26,69,111],"weights":[27,112],"of":[28,63],"different":[30],"depends":[32],"on":[33,81,91],"symbols":[35],"states.":[38],"In":[39],"particular,":[40],"we":[41,98],"associate":[42],"partial":[44,65,115],"probability":[45,56],"with":[46],"each":[47,50],"symbol":[48],"in":[49],"subspace.":[51],"The":[52,76,118,129],"overall":[53],"observation":[54],"state":[55,116],"then":[58],"computed":[59],"as":[60],"an":[61],"aggregation":[62,74],"probabilities":[66],"their":[68],"weights.":[70],"consider":[72],"two":[73],"models.":[75],"first":[77],"one":[78,88],"based":[80,90],"linear":[83],"combination,":[84],"while":[85],"second":[87],"geometric":[93],"combination.":[94],"For":[95],"both":[96],"models,":[97],"reformulate":[99],"Baum-Welch":[101],"learning":[102],"algorithm":[103],"derive":[105],"update":[107],"equations":[108],"for":[109],"probabilities.":[117],"proposed":[119],"approach":[120],"validated":[122],"using":[123],"synthetic":[124],"real":[126],"data":[127],"sets.":[128],"results":[130],"are":[131],"shown":[132],"to":[133],"outperform":[134],"baseline":[136],"HMM.":[137]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
