{"id":"https://openalex.org/W2018438503","doi":"https://doi.org/10.1145/2769493.2769586","title":"Joint segmentation and classification of actions using a conditional random field","display_name":"Joint segmentation and classification of actions using a conditional random field","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2018438503","doi":"https://doi.org/10.1145/2769493.2769586","mag":"2018438503"},"language":"en","primary_location":{"id":"doi:10.1145/2769493.2769586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2769493.2769586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments","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/A5021338623","display_name":"Dimitrios Kosmopoulos","orcid":"https://orcid.org/0000-0003-3325-1247"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Kosmopoulos","raw_affiliation_strings":["University of Patras, Agrinio, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras, Agrinio, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013025849","display_name":"Ilias Maglogiannis","orcid":"https://orcid.org/0000-0003-2860-399X"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ilias Maglogiannis","raw_affiliation_strings":["University of Piraeus, Piraeus, Greece","University of Piraeus, Piraeus, Greece#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]},{"raw_affiliation_string":"University of Piraeus, Piraeus, Greece#TAB#","institution_ids":["https://openalex.org/I154757721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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":0.9969000220298767,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9957000017166138,"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/T10028","display_name":"Topic Modeling","score":0.9833999872207642,"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/conditional-random-field","display_name":"Conditional random field","score":0.9776719808578491},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7694231867790222},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7582389116287231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731899976730347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050982475280762},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5894733667373657},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5857839584350586},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5593271851539612},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.48480525612831116},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.43682777881622314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4301770329475403},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4154844880104065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3384953439235687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14000141620635986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09335577487945557}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9776719808578491},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7694231867790222},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7582389116287231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731899976730347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050982475280762},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5894733667373657},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5857839584350586},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5593271851539612},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.48480525612831116},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.43682777881622314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4301770329475403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4154844880104065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3384953439235687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14000141620635986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09335577487945557},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2769493.2769586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2769493.2769586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1585529040","https://openalex.org/W1766290689","https://openalex.org/W1978511849","https://openalex.org/W1989665047","https://openalex.org/W2072759513","https://openalex.org/W2101534792","https://openalex.org/W2125838338","https://openalex.org/W2140170007","https://openalex.org/W2144761589","https://openalex.org/W2147880316","https://openalex.org/W6600438989"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2798423868","https://openalex.org/W3015678144","https://openalex.org/W2076440176","https://openalex.org/W2140585957","https://openalex.org/W2054134081","https://openalex.org/W2061027419","https://openalex.org/W1675450783","https://openalex.org/W189110383","https://openalex.org/W2404235285"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,70],"present":[4],"results":[5],"of":[6,11,16,53,62],"joint":[7],"segmentation":[8],"and":[9,69],"classification":[10],"sequences":[12,48],"in":[13],"the":[14,31,34,42,45,54,60],"framework":[15],"conditional":[17],"random":[18],"field":[19],"(CRF)":[20],"models.":[21],"We":[22,58],"use":[23],"a":[24,66],"recently":[25],"proposed":[26,35],"dual-functionality":[27],"CRF":[28],"model:":[29],"on":[30,41],"first":[32],"level,":[33,44],"model":[36],"conducts":[37],"sequence":[38],"segmentation,":[39],"while,":[40],"second":[43],"whole":[46],"observed":[47],"are":[49],"classified":[50],"into":[51],"one":[52],"available":[55],"learned":[56],"classes.":[57],"evaluate":[59],"efficacy":[61],"our":[63],"approach":[64],"considering":[65],"real-world":[67],"application,":[68],"compare":[71],"its":[72],"performance":[73],"to":[74],"popular":[75],"alternatives.":[76]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
