{"id":"https://openalex.org/W2069347226","doi":"https://doi.org/10.1109/icmew.2013.6618413","title":"Learning complex event models using markov logic networks","display_name":"Learning complex event models using markov logic networks","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2069347226","doi":"https://doi.org/10.1109/icmew.2013.6618413","mag":"2069347226"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2013.6618413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/53113","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055493571","display_name":"Karani Karda\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Karani Kardas","raw_affiliation_strings":["Department of Computer Engineering, Middle East Technical University, Ankara, Turkey","Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084257611","display_name":"\u0130lkay Ulusoy","orcid":"https://orcid.org/0000-0002-0863-7116"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ilkay Ulusoy","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083731859","display_name":"Nihan Kesim \u00c7i\u00e7ekli","orcid":"https://orcid.org/0000-0003-3215-754X"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nihan Kesim Cicekli","raw_affiliation_strings":["Department of Computer Engineering, Middle East Technical University, Ankara, Turkey","Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055493571"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.2764,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61657333,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9966999888420105,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9824000000953674,"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/computer-science","display_name":"Computer science","score":0.7882158160209656},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7012988924980164},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6145744919776917},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.6109001040458679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889895558357239},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5099130868911743},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5038368105888367},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4950980246067047},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.44742822647094727},{"id":"https://openalex.org/keywords/first-order-logic","display_name":"First-order logic","score":0.4406890273094177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40896445512771606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.284517765045166},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.10406690835952759},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07685932517051697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882158160209656},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7012988924980164},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6145744919776917},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.6109001040458679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889895558357239},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5099130868911743},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5038368105888367},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4950980246067047},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.44742822647094727},{"id":"https://openalex.org/C100481476","wikidata":"https://www.wikidata.org/wiki/Q4055684","display_name":"First-order logic","level":2,"score":0.4406890273094177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40896445512771606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.284517765045166},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.10406690835952759},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07685932517051697},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmew.2013.6618413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/53113","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/53113","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/53113","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/53113","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1504911608","https://openalex.org/W1563737156","https://openalex.org/W1815494026","https://openalex.org/W1871193478","https://openalex.org/W1977970897","https://openalex.org/W2053765558","https://openalex.org/W2115226893","https://openalex.org/W2128951574","https://openalex.org/W2137914364","https://openalex.org/W2144484286","https://openalex.org/W2165108827","https://openalex.org/W6630243177","https://openalex.org/W6638610649","https://openalex.org/W6680655742"],"related_works":["https://openalex.org/W1503442776","https://openalex.org/W2963736354","https://openalex.org/W1991466308","https://openalex.org/W2034281151","https://openalex.org/W1998654057","https://openalex.org/W2169917630","https://openalex.org/W2353457699","https://openalex.org/W1550787577","https://openalex.org/W2089368853","https://openalex.org/W2069347226"],"abstract_inverted_index":{"An":[0],"event":[1,27,70,114,129,143],"model":[2,115,138],"learning":[3,71,96],"framework":[4,25,120],"is":[5,41,66,77,116,121,144],"proposed":[6,67,119],"for":[7,68,140],"indoor":[8],"and":[9,29,33,48,52,133],"outdoor":[10],"surveillance":[11],"applications":[12],"in":[13,19,54,146],"order":[14],"to":[15,61,79,100,107,123],"decrease":[16],"human":[17],"intervention":[18],"the":[20,55,63,69,74,93,102,105,108,113,124],"modeling":[21],"process.":[22,72],"The":[23,118],"resulting":[24],"makes":[26],"detection":[28],"recognition":[30],"flexible,":[31],"domain":[32],"scene":[34],"independent.":[35],"A":[36,57],"set":[37,58,81],"of":[38,59,82,104,126],"predicate":[39],"types":[40],"introduced":[42],"which":[43],"define":[44],"basic":[45],"spatio-temporal":[46],"relations":[47],"interactions":[49],"between":[50],"objects":[51],"people":[53],"videos.":[56],"policies":[60],"choose":[62],"appropriate":[64],"predicates":[65,106],"First,":[73],"video":[75],"data":[76],"converted":[78],"a":[80],"Markov":[83],"Logic":[84],"Network":[85],"(MLN)":[86],"predicates.":[87],"Then,":[88],"these":[89],"policies,":[90],"together":[91],"with":[92],"discriminative":[94],"weight":[95],"algorithm,":[97],"are":[98],"used":[99],"infer":[101],"relevance":[103],"events":[109],"being":[110],"queried.":[111],"Finally,":[112],"generated.":[117],"applied":[122],"generation":[125,139],"three":[127],"different":[128],"models":[130],"from":[131],"CANTATA":[132],"our":[134],"datasets.":[135],"In":[136],"particular,":[137],"left":[141],"object":[142],"discussed":[145],"detail.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
