{"id":"https://openalex.org/W1995023435","doi":"https://doi.org/10.1109/mlsp.2015.7324347","title":"Multi-modal label propagation based on a higher order similarity matrix","display_name":"Multi-modal label propagation based on a higher order similarity matrix","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1995023435","doi":"https://doi.org/10.1109/mlsp.2015.7324347","mag":"1995023435"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2015.7324347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5044836941","display_name":"Olga Zoidi","orcid":"https://orcid.org/0000-0003-3471-846X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Olga Zoidi","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034879808","display_name":"Nikos Nikolaidis","orcid":"https://orcid.org/0000-0003-1515-7986"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Nikolaidis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, GREECE","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Box 451, Thessaloniki 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044836941"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56889216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","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":0.9990000128746033,"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":0.9990000128746033,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965999722480774,"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/similarity","display_name":"Similarity (geometry)","score":0.7894761562347412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6393031477928162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6306846737861633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6069915294647217},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5423588752746582},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5093351602554321},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5068350434303284},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.41328638792037964},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25596287846565247}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7894761562347412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6393031477928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306846737861633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069915294647217},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5423588752746582},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5093351602554321},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5068350434303284},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.41328638792037964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25596287846565247},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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":1,"locations":[{"id":"doi:10.1109/mlsp.2015.7324347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2015.7324347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W15671940","https://openalex.org/W1815110991","https://openalex.org/W1980001792","https://openalex.org/W1989085630","https://openalex.org/W2011256616","https://openalex.org/W2024165284","https://openalex.org/W2031049553","https://openalex.org/W2048636460","https://openalex.org/W2068611653","https://openalex.org/W2095609079","https://openalex.org/W2100916003","https://openalex.org/W2109524159","https://openalex.org/W2138312771","https://openalex.org/W2138388365","https://openalex.org/W2154455818","https://openalex.org/W2156477073","https://openalex.org/W2167418391","https://openalex.org/W2334852546","https://openalex.org/W2405454077","https://openalex.org/W3146366344","https://openalex.org/W6638689799","https://openalex.org/W6657948121","https://openalex.org/W6682494755","https://openalex.org/W6792790011"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W2375480909","https://openalex.org/W2379392295","https://openalex.org/W4304185162","https://openalex.org/W3160965418","https://openalex.org/W2353314428","https://openalex.org/W613940353","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143"],"abstract_inverted_index":{"A":[0,20],"novel":[1],"method":[2,13,58,77],"is":[3,25,41],"introduced":[4],"for":[5,27],"label":[6,39,56,114],"propagation":[7,40,57,115],"on":[8,15,43,80,86,98],"similarity":[9,23,47,70],"tensors.":[10],"The":[11,72],"proposed":[12,76,113],"operates":[14],"data":[16,33,100],"with":[17,59],"multiple":[18],"representations.":[19],"higher":[21,68],"order":[22,69],"matrix":[24],"constructed":[26],"describing":[28],"the":[29,32,44,51,54,65,75,112,125,128],"relationship":[30],"between":[31],"representations":[34],"in":[35,130],"different":[36],"modalities.":[37],"Then,":[38],"performed":[42,79],"above":[45],"mentioned":[46],"matrix,":[48],"by":[49],"extending":[50],"state":[52,126],"of":[53,67,74,103,127],"art":[55,129],"local":[60],"and":[61,94],"global":[62],"consistency":[63],"to":[64],"case":[66],"graphs.":[71],"evaluation":[73],"was":[78],"two":[81,99],"classification":[82,122,132],"tasks:":[83],"person":[84],"recognition":[85,97],"facial":[87],"images":[88],"extracted":[89],"from":[90,106,124],"three":[91],"stereo":[92],"movies":[93],"human":[95],"action":[96],"sets":[101],"consisting":[102],"videos":[104],"downloaded":[105],"YouTube.":[107],"Experimental":[108],"results":[109],"showed":[110],"that":[111],"approach":[116],"achieves":[117],"either":[118],"competitive":[119],"or":[120],"better":[121],"accuracy":[123],"all":[131],"tasks.":[133]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}