{"id":"https://openalex.org/W2004908008","doi":"https://doi.org/10.1109/icip.2014.7025684","title":"Semi-supervised learning of sparse representations to recognize people spatial orientation","display_name":"Semi-supervised learning of sparse representations to recognize people spatial orientation","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2004908008","doi":"https://doi.org/10.1109/icip.2014.7025684","mag":"2004908008"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025684","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":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/A5070475631","display_name":"Nicoletta Noceti","orcid":"https://orcid.org/0000-0002-6482-4768"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"funder","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicoletta Noceti","raw_affiliation_strings":["DIBRIS - Universit\u00e0 degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)"],"affiliations":[{"raw_affiliation_string":"DIBRIS - Universit\u00e0 degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032083229","display_name":"Francesca Odone","orcid":"https://orcid.org/0000-0002-3463-2263"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"funder","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Odone","raw_affiliation_strings":["DIBRIS - Universit\u00e0 degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)"],"affiliations":[{"raw_affiliation_string":"DIBRIS - Universit\u00e0 degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)","institution_ids":["https://openalex.org/I83816512"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.826,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.564697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"3382","last_page":"3386"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9999,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9999,"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":0.9932,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9881,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6610176},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4697205}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.73733884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957226},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.668441},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6610176},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.51210785},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.50053596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48835847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48102337},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4697205},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.46852988},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42243648},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.411858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14739856},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07184982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025684","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.48,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1255322248","https://openalex.org/W1517135745","https://openalex.org/W1580352366","https://openalex.org/W1588401315","https://openalex.org/W1676820704","https://openalex.org/W1811046429","https://openalex.org/W1992681465","https://openalex.org/W1997500560","https://openalex.org/W2010985691","https://openalex.org/W2019575783","https://openalex.org/W2053619738","https://openalex.org/W2056732462","https://openalex.org/W2104290444","https://openalex.org/W2105368578","https://openalex.org/W2111997408","https://openalex.org/W2115873261","https://openalex.org/W2123755669","https://openalex.org/W2146761391","https://openalex.org/W2161969291","https://openalex.org/W2163159047","https://openalex.org/W2163292664","https://openalex.org/W2172043283","https://openalex.org/W2945608433","https://openalex.org/W2997701990","https://openalex.org/W4285719527","https://openalex.org/W4297924266"],"related_works":["https://openalex.org/W4400595174","https://openalex.org/W4353089801","https://openalex.org/W2923538289","https://openalex.org/W2470643824","https://openalex.org/W2353819554","https://openalex.org/W2353179089","https://openalex.org/W2353125546","https://openalex.org/W2349635380","https://openalex.org/W2156571267","https://openalex.org/W2065031478"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"consider":[4],"the":[5,15,29,44,52,62,73,80],"problem":[6,55],"of":[7,31,33,47,64,82],"classifying":[8],"people":[9],"spatial":[10],"orientation":[11],"with":[12,43,56],"respect":[13],"to":[14,27],"camera":[16],"viewpoint":[17],"from":[18],"2D":[19],"images.":[20],"Structured":[21],"multi-class":[22,53],"feature":[23],"selection":[24],"allows":[25],"us":[26,41],"control":[28],"amount":[30],"redundancy":[32],"our":[34,83],"input":[35],"data,":[36],"while":[37],"semi-supervised":[38],"learning":[39],"helps":[40],"coping":[42],"intrinsic":[45],"ambiguity":[46],"output":[48],"labels.":[49],"We":[50],"model":[51],"classification":[54],"an":[57],"all-pairs":[58],"strategy":[59],"based":[60],"on":[61,72],"use":[63],"a":[65],"coding":[66],"matrix.":[67],"A":[68],"thorough":[69],"experimental":[70],"evaluation":[71],"TUD":[74],"Multiview":[75],"Pedestrian":[76],"benchmark":[77],"dataset":[78],"demonstrates":[79],"superiority":[81],"approach":[84],"w.r.t.":[85],"state-of-the-art.":[86]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2004908008","counts_by_year":[{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-04-17T10:06:58.765530","created_date":"2016-06-24"}