{"id":"https://openalex.org/W2919310391","doi":"https://doi.org/10.1145/3297156.3297213","title":"Two-Dimensional Perceptrons","display_name":"Two-Dimensional Perceptrons","publication_year":2018,"publication_date":"2018-12-08","ids":{"openalex":"https://openalex.org/W2919310391","doi":"https://doi.org/10.1145/3297156.3297213","mag":"2919310391"},"language":"en","primary_location":{"id":"doi:10.1145/3297156.3297213","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297213","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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/A5069989567","display_name":"Jun Ou","orcid":"https://orcid.org/0009-0008-1588-9507"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Ou","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457814","display_name":"Yujian Li","orcid":"https://orcid.org/0000-0002-4991-6461"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujian Li","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069989567"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22275641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10057","display_name":"Face and Expression Recognition","score":0.9944000244140625,"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/mnist-database","display_name":"MNIST database","score":0.9421460628509521},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7677776217460632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484065294265747},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.7431595921516418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790286302566528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6596612930297852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4970991909503937},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4618903696537018},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42015206813812256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3317074179649353}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9421460628509521},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7677776217460632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484065294265747},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.7431595921516418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790286302566528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6596612930297852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4970991909503937},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4618903696537018},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42015206813812256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3317074179649353}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297156.3297213","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297213","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1601963269","https://openalex.org/W1971581014","https://openalex.org/W1995341919","https://openalex.org/W1999113165","https://openalex.org/W2040870580","https://openalex.org/W2103496339","https://openalex.org/W2112796928","https://openalex.org/W2156163116","https://openalex.org/W2169805405","https://openalex.org/W2519653196","https://openalex.org/W2595142274","https://openalex.org/W2752322585","https://openalex.org/W2963703618","https://openalex.org/W3121926921"],"related_works":["https://openalex.org/W3036048022","https://openalex.org/W4309224979","https://openalex.org/W3026879719","https://openalex.org/W1908107260","https://openalex.org/W1952005211","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,99,125],"networks":[2],"(CNNs)":[3],"have":[4],"made":[5],"remarkable":[6],"success":[7],"in":[8,74,107],"image":[9],"classification.":[10],"However,":[11],"it":[12,110],"is":[13,111],"still":[14],"an":[15],"open":[16,119],"problem":[17],"how":[18],"to":[19,36,129],"develop":[20],"new":[21,121],"models":[22],"instead":[23],"of":[24,40,80],"CNNs.":[25,130],"Here,":[26],"we":[27],"propose":[28],"a":[29,83,92,96,112],"novel":[30],"model,":[31],"namely,":[32],"two-dimensional":[33],"perceptron":[34,94],"(TDP),":[35],"get":[37],"direct":[38],"input":[39,53],"2D":[41],"data":[42],"for":[43,123],"further":[44,105],"processing.":[45],"A":[46],"TDP":[47,60,63,84,103],"computes":[48],"hidden":[49,81],"neurons":[50],"from":[51],"the":[52,77],"via":[54],"left/right":[55],"matrix":[56],"multiplication,":[57],"producing":[58],"left-weighted":[59],"and":[61,69,95,114],"right-weighted":[62],"respectively.":[64],"Experimental":[65],"results":[66],"on":[67],"MNIST":[68],"COIL-20":[70],"datasets":[71],"show":[72],"that,":[73],"cases":[75],"with":[76],"same":[78],"number":[79],"neurons,":[82],"could":[85],"perform":[86],"similarly":[87],"or":[88],"slightly":[89],"better":[90],"than":[91],"corresponding":[93,97],"convolutional":[98],"network.":[100],"Hence,":[101],"although":[102],"needs":[104],"exploring":[106],"many":[108],"respects,":[109],"promising":[113],"potential":[115],"model":[116],"that":[117],"may":[118],"some":[120],"directions":[122],"deep":[124],"networks,":[126],"particularly":[127],"alternatives":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}