{"id":"https://openalex.org/W1802032049","doi":"https://doi.org/10.1109/icassp.2015.7178684","title":"Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition","display_name":"Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1802032049","doi":"https://doi.org/10.1109/icassp.2015.7178684","mag":"1802032049"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1410.1606","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060817282","display_name":"Xiang Xiang","orcid":"https://orcid.org/0000-0003-0606-6193"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiang Xiang","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080867745","display_name":"Minh N. Dao","orcid":"https://orcid.org/0000-0002-8074-6675"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh Dao","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041383246","display_name":"Gregory D. Hager","orcid":"https://orcid.org/0000-0002-6662-9763"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory D. Hager","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413113","display_name":"Trac D. Tran","orcid":"https://orcid.org/0000-0002-0421-8416"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trac D. Tran","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060817282"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.7487,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78547622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"3811","last_page":"3815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7359297275543213},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7097198367118835},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6816375851631165},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6687414646148682},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6660612225532532},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6294216513633728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806246995925903},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5263765454292297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48884981870651245},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4728660583496094},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2570629119873047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14391064643859863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359297275543213},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7097198367118835},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6816375851631165},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6687414646148682},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6660612225532532},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6294216513633728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806246995925903},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5263765454292297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48884981870651245},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4728660583496094},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2570629119873047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14391064643859863},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2015.7178684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1410.1606","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.1606","pdf_url":"https://arxiv.org/pdf/1410.1606","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.742.9083","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.742.9083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1410.1606.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01138451v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01138451","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icassp2015.org/","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1410.1606","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.1606","pdf_url":"https://arxiv.org/pdf/1410.1606","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W96319384","https://openalex.org/W1529297639","https://openalex.org/W1593808771","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2012362967","https://openalex.org/W2019383100","https://openalex.org/W2060312700","https://openalex.org/W2075779886","https://openalex.org/W2077964948","https://openalex.org/W2098110139","https://openalex.org/W2103876808","https://openalex.org/W2103943262","https://openalex.org/W2113328646","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2138019504","https://openalex.org/W2145096794","https://openalex.org/W2145553708","https://openalex.org/W2145962650","https://openalex.org/W2146047955","https://openalex.org/W2156503193","https://openalex.org/W2164452299","https://openalex.org/W2164575144","https://openalex.org/W2169326247","https://openalex.org/W2180695702","https://openalex.org/W2951466457","https://openalex.org/W2963726588","https://openalex.org/W3144858519","https://openalex.org/W4240016326","https://openalex.org/W4240484365","https://openalex.org/W6631489762","https://openalex.org/W6665562371","https://openalex.org/W6676664377","https://openalex.org/W6685803058"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"design":[4],"a":[5],"Collaborative-Hierarchical":[6],"Sparse":[7,79],"and":[8,32],"Low-Rank":[9],"(C-HiSLR)":[10],"model":[11,38],"that":[12],"is":[13],"natural":[14],"for":[15],"recognizing":[16],"human":[17],"emotion":[18],"in":[19,96],"visual":[20],"data.":[21],"Previous":[22],"attempts":[23],"require":[24],"explicit":[25],"expression":[26,59],"components,":[27],"which":[28],"are":[29],"often":[30],"unavailable":[31],"difficult":[33],"to":[34,43],"recover.":[35],"Instead,":[36],"our":[37],"exploits":[39],"the":[40,58,66,78],"low-rank":[41],"property":[42],"subtract":[44],"neutral":[45],"faces":[46,73],"from":[47],"expressive":[48,72],"facial":[49],"frames":[50],"as":[51,53,75,77],"well":[52],"performs":[54,74,91],"sparse":[55],"representation":[56],"on":[57,70,85],"components":[60],"with":[61],"group":[62],"sparsity":[63],"enforced.":[64],"For":[65],"CK+":[67],"dataset,":[68],"C-HiSLR":[69,90],"raw":[71],"competitive":[76],"Representation":[80],"based":[81],"Classification":[82],"(SRC)":[83],"applied":[84],"manually":[86],"prepared":[87],"emotions.":[88],"Our":[89],"even":[92],"better":[93],"than":[94],"SRC":[95],"terms":[97],"of":[98],"true":[99],"positive":[100],"rate.":[101]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}