{"id":"https://openalex.org/W2557001586","doi":"https://doi.org/10.1142/s1793351x16400110","title":"Visual Reasoning Indexing and Retrieval Using In-Memory Computing","display_name":"Visual Reasoning Indexing and Retrieval Using In-Memory Computing","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2557001586","doi":"https://doi.org/10.1142/s1793351x16400110","mag":"2557001586"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x16400110","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x16400110","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5108505505","display_name":"Hongfei Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongfei Cao","raw_affiliation_strings":["Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739349","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-5060-2558"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006202465","display_name":"Carla Allen","orcid":"https://orcid.org/0000-0002-7520-9576"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carla M. Allen","raw_affiliation_strings":["Clinical and Diagnostic Science Department, University of Missouri-Columbia, Columbia, MO 65211, USA"],"affiliations":[{"raw_affiliation_string":"Clinical and Diagnostic Science Department, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113781818","display_name":"Michael Phinney","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Phinney","raw_affiliation_strings":["Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013031415","display_name":"Chi\u2010Ren Shyu","orcid":"https://orcid.org/0000-0001-9197-9522"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chi-Ren Shyu","raw_affiliation_strings":["Computer Science, Electrical and Computer Engineering, Informatics Institute, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, Electrical and Computer Engineering, Informatics Institute, Interdisciplinary Data Analytics and Search Lab, University of Missouri-Columbia, Columbia, MO 65211, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108505505"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6760535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"03","first_page":"299","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.996999979019165,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.993399977684021,"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":0.9664999842643738,"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":0.8842753171920776},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6620577573776245},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.523963451385498},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.49739721417427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47898054122924805},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4669927656650543},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4272557497024536},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42412009835243225},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40045419335365295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35368213057518005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8842753171920776},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6620577573776245},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.523963451385498},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.49739721417427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47898054122924805},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4669927656650543},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4272557497024536},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42412009835243225},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40045419335365295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35368213057518005},{"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":[{"id":"doi:10.1142/s1793351x16400110","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x16400110","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1480736306","https://openalex.org/W1497599070","https://openalex.org/W1981420413","https://openalex.org/W2096544401","https://openalex.org/W2110086534","https://openalex.org/W2112200469","https://openalex.org/W2112845172","https://openalex.org/W2132353975","https://openalex.org/W2147069236","https://openalex.org/W2157355837","https://openalex.org/W2164832964","https://openalex.org/W2173213060"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W3024364549","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W2047559669"],"abstract_inverted_index":{"Research":[0],"has":[1,132],"shown":[2],"that":[3,129],"visual":[4,22,80,101,153,160,175],"information":[5],"of":[6,86,117],"multimedia":[7],"is":[8,25,112],"critical":[9],"in":[10,30,158,174,183],"highly-skilled":[11],"applications,":[12],"such":[13,49],"as":[14,178,180],"biomedicine":[15],"and":[16,19,39,54,59,91,99,137,169,187],"life":[17],"sciences,":[18],"a":[20,31,100,133,166],"certain":[21],"reasoning":[23,46,81,102,119],"process":[24],"essential":[26],"for":[27,96,114,141,147,172],"meaningful":[28],"search":[29,116],"timely":[32],"manner.":[33],"Relevant":[34],"image":[35],"characteristics":[36],"are":[37,51,94],"learned":[38],"verified":[40],"with":[41,83],"accumulated":[42],"experiences":[43],"during":[44],"the":[45,68,84,130],"processes.":[47],"However,":[48],"processes":[50,82],"highly":[52],"dynamic":[53],"elusive":[55],"to":[56,62,66],"computationally":[57],"quantify":[58],"therefore":[60],"challenging":[61],"analyze,":[63],"let":[64],"alone":[65],"make":[67],"knowledge":[69],"sharable":[70],"across":[71],"users.":[72],"In":[73],"this":[74],"paper":[75],"we":[76],"study":[77],"real-time":[78,115],"human":[79,125],"aid":[85],"gaze":[87,97],"tracking":[88],"devices.":[89],"Temporal":[90],"spatial":[92],"representations":[93],"proposed":[95,163],"modeling,":[98],"retrieval":[103],"system":[104,131,164],"utilizing":[105],"in-memory":[106],"computing":[107,170],"under":[108],"Big":[109],"Data":[110],"ecosystems":[111],"designed":[113],"similar":[118],"models.":[120],"Simulated":[121],"data":[122,145],"derived":[123],"from":[124],"subject":[126],"experiments":[127],"show":[128,156],"reasonably":[134],"high":[135],"accuracy":[136],"provides":[138,165],"predictive":[139],"estimations":[140],"hardware":[142],"requirements":[143],"versus":[144],"sizes":[146],"exhaustive":[148],"searches.":[149],"Comparison":[150],"between":[151],"various":[152],"action":[154],"classifiers":[155],"challenges":[157],"modeling":[159],"actions.":[161],"The":[162],"theoretical":[167],"framework":[168],"platform":[171],"advancement":[173],"semantic":[176],"computing,":[177],"well":[179],"potential":[181],"applications":[182],"medicine,":[184],"social":[185],"science,":[186],"arts.":[188]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
