乐胖代购免代理版

{"id":"https://openalex.org/W2120512673","doi":"https://doi.org/10.1109/icip.2007.4379784","title":"Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video","display_name":"Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2120512673","doi":"https://doi.org/10.1109/icip.2007.4379784","mag":"2120512673"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5060311157","display_name":"Iulian Pruteanu-Malinici","orcid":"https://orcid.org/0000-0002-9787-2985"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"funder","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iulian Pruteanu-Malinici","raw_affiliation_strings":["Duke Univ., Durham#TAB#"],"affiliations":[{"raw_affiliation_string":"Duke Univ., Durham#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"funder","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Duke Univ., Durham#TAB#"],"affiliations":[{"raw_affiliation_string":"Duke Univ., Durham#TAB#","institution_ids":["https://openalex.org/I170897317"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.321076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":74},"biblio":{"volume":null,"issue":null,"first_page":"V ","last_page":" 140"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9953,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9953,"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/T11309","display_name":"Music and Audio Processing","score":0.9928,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9927,"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/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.6168993},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46594584}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8289264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439929},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.6168993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.61443853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60918975},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.56988937},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5500565},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4745615},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46594584},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.45336324},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4522139},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.434518},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.42238367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25531518},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.19784918},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.15221697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10266796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W2019502123","https://openalex.org/W2021175324","https://openalex.org/W2069429561","https://openalex.org/W2072967946","https://openalex.org/W2111918405","https://openalex.org/W2115755118","https://openalex.org/W2115979064","https://openalex.org/W2124486835","https://openalex.org/W2124658620","https://openalex.org/W2142532896","https://openalex.org/W2150473224","https://openalex.org/W2154728678","https://openalex.org/W2158190429"],"related_works":["https://openalex.org/W77742705","https://openalex.org/W4300881738","https://openalex.org/W2544994990","https://openalex.org/W2296528819","https://openalex.org/W2107192713","https://openalex.org/W2103605202","https://openalex.org/W2059343102","https://openalex.org/W1985367615","https://openalex.org/W1974052996","https://openalex.org/W166614460"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,21,24,50,87,99,102,110],"problem":[3],"of":[4,27,53,101,106],"unusual-event":[5],"detection":[6],"in":[7,98,114],"a":[8,59,75,121],"video":[9,44],"sequence.":[10],"Invariant":[11],"subspace":[12],"analysis":[13],"(ISA)":[14],"is":[15,40,78,96,112],"used":[16],"to":[17,86],"extract":[18],"features":[19,29,83],"from":[20],"video,":[22],"and":[23,56,119],"time-evolving":[25],"properties":[26],"these":[28],"are":[30,71,84],"modeled":[31],"via":[32,117],"an":[33],"infinite":[34],"hidden":[35],"Markov":[36],"model":[37,66],"(iHMM),":[38],"which":[39],"trained":[41,88],"using":[42,120],"\"normal\"/\"typical\"":[43],"data.":[45],"The":[46,104],"iHMM":[47,111],"automatically":[48],"determines":[49],"proper":[51],"number":[52],"HMM":[54],"states,":[55],"it":[57],"retains":[58],"full":[60],"posterior":[61,107],"density":[62],"function":[63],"on":[64],"all":[65],"parameters.":[67],"Anomalies":[68],"(unusual":[69],"events)":[70],"detected":[72],"subsequently":[73],"if":[74],"low":[76],"likelihood":[77],"observed":[79],"when":[80],"associated":[81],"sequential":[82],"submitted":[85],"iHMM.":[89,103],"A":[90],"hierarchical":[91],"Dirichlet":[92],"process":[93],"(HDP)":[94],"framework":[95],"employed":[97],"formulation":[100],"evaluation":[105],"distributions":[108],"for":[109],"achieved":[113],"two":[115],"ways:":[116],"MCMC":[118],"variational":[122],"Bayes":[123],"(VB)":[124],"formulation.":[125]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2120512673","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-04-15T20:31:09.684274","created_date":"2016-06-24"}