{"id":"https://openalex.org/W2150328903","doi":"https://doi.org/10.1109/icarcv.2010.5707936","title":"Two-tier Emergent Self-Organizing (TtEsom) approach of understanding emotions","display_name":"Two-tier Emergent Self-Organizing (TtEsom) approach of understanding emotions","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2150328903","doi":"https://doi.org/10.1109/icarcv.2010.5707936","mag":"2150328903"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2010.5707936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics & Vision","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":null,"display_name":"Nguwi Yok Yen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110442","display_name":"James Cook University Singapore","ror":"https://ror.org/01y5z8p89","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210110442"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nguwi Yok Yen","raw_affiliation_strings":["School of Business (IT), James Cook University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business (IT), James Cook University, Singapore","institution_ids":["https://openalex.org/I4210110442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038329998","display_name":"Teoh Teik Toe","orcid":"https://orcid.org/0000-0001-9290-5517"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Teoh Teik Toe","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65738515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879000186920166,"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/T10320","display_name":"Neural Networks and Applications","score":0.9864000082015991,"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/connectionism","display_name":"Connectionism","score":0.7537446618080139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295092344284058},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6981114149093628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.680560827255249},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.49282386898994446},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4682772159576416},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.46311062574386597},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.4592130184173584},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44939807057380676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44939476251602173},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44836872816085815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3920442461967468},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29754969477653503},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.2596343755722046},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.21681594848632812},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.09229883551597595}],"concepts":[{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.7537446618080139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295092344284058},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6981114149093628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680560827255249},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.49282386898994446},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4682772159576416},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.46311062574386597},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.4592130184173584},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44939807057380676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44939476251602173},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44836872816085815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3920442461967468},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29754969477653503},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2596343755722046},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.21681594848632812},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.09229883551597595},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2010.5707936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics & Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1896637762","https://openalex.org/W2003238582","https://openalex.org/W2009375902","https://openalex.org/W2106115875","https://openalex.org/W2116948717","https://openalex.org/W2124776405","https://openalex.org/W2143426320","https://openalex.org/W2182468807","https://openalex.org/W6639545719","https://openalex.org/W6677484513","https://openalex.org/W6678851513"],"related_works":["https://openalex.org/W4205841273","https://openalex.org/W4205525690","https://openalex.org/W1761388607","https://openalex.org/W1997922073","https://openalex.org/W2034551444","https://openalex.org/W2604685715","https://openalex.org/W150043153","https://openalex.org/W2482164254","https://openalex.org/W2155774786","https://openalex.org/W1537079663"],"abstract_inverted_index":{"This":[0,72],"paper":[1],"extends":[2],"the":[3,37,46,63,86,93],"previous":[4,94],"work":[5,29,73,95],"on":[6],"emotion":[7,18],"mapping":[8],"that":[9],"attempts":[10],"to":[11,84],"emulate":[12],"human":[13,38],"brain":[14],"reference":[15],"model.":[16],"Most":[17],"recognition":[19],"system":[20,34],"analyzes":[21],"facial":[22],"expression":[23],"through":[24,62],"supervised":[25,100],"learning":[26,101],"whereas":[27],"this":[28],"adopts":[30],"unsupervised":[31],"learning.":[32],"The":[33,50,88],"first":[35],"locates":[36],"face":[39,48],"in":[40],"an":[41],"image,":[42],"and":[43,96],"then":[44],"identifies":[45],"localized":[47],"emotion.":[49,87],"proposed":[51],"method":[52],"uses":[53],"features":[54,60],"obtained":[55],"using":[56],"Gabor":[57],"wavelets,":[58],"undergoes":[59],"selection":[61],"use":[64],"of":[65,68],"a":[66,75],"derivation":[67],"Support":[69],"Vector":[70],"Machine.":[71],"adopted":[74],"connectionist":[76],"model,":[77],"called":[78],"Two-tier":[79],"Emergent":[80],"Self-Organizing":[81],"Map":[82],"(TtEsom)":[83],"analyse":[85],"result":[89,98],"shows":[90],"improvement":[91],"over":[92],"comparable":[97],"with":[99],"approach.":[102]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}