{"id":"https://openalex.org/W2993802668","doi":"https://doi.org/10.1109/tnnls.2019.2951788","title":"Realizing Data Features by Deep Nets","display_name":"Realizing Data Features by Deep Nets","publication_year":2019,"publication_date":"2019-12-05","ids":{"openalex":"https://openalex.org/W2993802668","doi":"https://doi.org/10.1109/tnnls.2019.2951788","mag":"2993802668","pmid":"https://pubmed.ncbi.nlm.nih.gov/31825878"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2951788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2951788","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5042860923","display_name":"Zheng-Chu Guo","orcid":"https://orcid.org/0009-0001-7134-6725"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Chu Guo","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499716","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0004-0649-5443"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022287632","display_name":"Shao-Bo Lin","orcid":"https://orcid.org/0000-0001-5122-9153"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Bo Lin","raw_affiliation_strings":["Center of Intelligent Decision-Making and Machine Learning, School of Management, Xi\u2019an Jiaotong University, Xi\u2019an, China","Wenzhou University, Wenzhou, China","Center of Intelligent Decision-Making and Machine Learning, School of Management, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5122-9153","affiliations":[{"raw_affiliation_string":"Center of Intelligent Decision-Making and Machine Learning, School of Management, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]},{"raw_affiliation_string":"Center of Intelligent Decision-Making and Machine Learning, School of Management, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5531,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87686915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"10","first_page":"4036","last_page":"4048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973999857902527,"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":0.9970999956130981,"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/locality","display_name":"Locality","score":0.7299850583076477},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7139838337898254},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6948567628860474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604423999786377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6027938723564148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5542018413543701},{"id":"https://openalex.org/keywords/deep-water","display_name":"Deep water","score":0.4800735116004944},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4553469121456146},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.45456036925315857},{"id":"https://openalex.org/keywords/expressive-power","display_name":"Expressive power","score":0.4214504361152649},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34314095973968506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3259428143501282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23466160893440247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22279506921768188},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1368684470653534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12116566300392151}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7299850583076477},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7139838337898254},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6948567628860474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604423999786377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6027938723564148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5542018413543701},{"id":"https://openalex.org/C2988134249","wikidata":"https://www.wikidata.org/wiki/Q22932371","display_name":"Deep water","level":2,"score":0.4800735116004944},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4553469121456146},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.45456036925315857},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.4214504361152649},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34314095973968506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3259428143501282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23466160893440247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22279506921768188},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1368684470653534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12116566300392151},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2951788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2951788","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31825878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31825878","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.4399999976158142,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2641593616","display_name":null,"funder_award_id":"11771012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3432399248","display_name":null,"funder_award_id":"11531013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3447179883","display_name":null,"funder_award_id":"18XD1400700","funder_id":"https://openalex.org/F4320327516","funder_display_name":"Program of Shanghai Subject Chief Scientist"},{"id":"https://openalex.org/G651730104","display_name":null,"funder_award_id":"61876133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8295545977","display_name":null,"funder_award_id":"11631015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8829225377","display_name":null,"funder_award_id":"11571078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327516","display_name":"Program of Shanghai Subject Chief Scientist","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1484867920","https://openalex.org/W1513292484","https://openalex.org/W1542886316","https://openalex.org/W1968436459","https://openalex.org/W1971909566","https://openalex.org/W1978397327","https://openalex.org/W1979234952","https://openalex.org/W1985700052","https://openalex.org/W1989906353","https://openalex.org/W1994642189","https://openalex.org/W2018166535","https://openalex.org/W2021676252","https://openalex.org/W2050880896","https://openalex.org/W2052100548","https://openalex.org/W2069959554","https://openalex.org/W2074381721","https://openalex.org/W2085481869","https://openalex.org/W2086242248","https://openalex.org/W2089947415","https://openalex.org/W2092384741","https://openalex.org/W2102993377","https://openalex.org/W2112531253","https://openalex.org/W2125003829","https://openalex.org/W2133665775","https://openalex.org/W2136922672","https://openalex.org/W2141473882","https://openalex.org/W2152593035","https://openalex.org/W2161388792","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2166116275","https://openalex.org/W2267573953","https://openalex.org/W2511261638","https://openalex.org/W2513671774","https://openalex.org/W2528305538","https://openalex.org/W2550848904","https://openalex.org/W2557967966","https://openalex.org/W2559431973","https://openalex.org/W2594741298","https://openalex.org/W2595315035","https://openalex.org/W2595713799","https://openalex.org/W2596625124","https://openalex.org/W2605622124","https://openalex.org/W2609900968","https://openalex.org/W2734819659","https://openalex.org/W2785890791","https://openalex.org/W2789237874","https://openalex.org/W2803198604","https://openalex.org/W2883486956","https://openalex.org/W2919115771","https://openalex.org/W2951603627","https://openalex.org/W2962949242","https://openalex.org/W2963146412","https://openalex.org/W2963264710","https://openalex.org/W2963482148","https://openalex.org/W2963626582","https://openalex.org/W2965767282","https://openalex.org/W3099132019","https://openalex.org/W3105432754","https://openalex.org/W3105890793","https://openalex.org/W4242686374","https://openalex.org/W4255512111","https://openalex.org/W6680850120","https://openalex.org/W6684191040","https://openalex.org/W6730638624","https://openalex.org/W6734616715","https://openalex.org/W6734671376","https://openalex.org/W6734855675","https://openalex.org/W6748059092","https://openalex.org/W6785427482"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W1556451512","https://openalex.org/W2361092061","https://openalex.org/W1555349535","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W4234091740","https://openalex.org/W4213350282","https://openalex.org/W2191886813"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"the":[3,30,41,62,75,84],"power":[4],"of":[5,43,88],"deep":[6,37,67,89,98],"neural":[7,45],"networks":[8,46],"(deep":[9],"nets)":[10,48],"in":[11,91],"realizing":[12,92],"data":[13,26,58,93],"features.":[14],"Based":[15],"on":[16],"refined":[17],"covering":[18],"number":[19],"estimates,":[20],"we":[21,64],"find":[22],"that,":[23],"to":[24,55],"realize":[25,56],"features":[27,94],"such":[28,60],"as":[29,61,71],"locality,":[31],"rotation":[32],"invariance,":[33],"and":[34,86,95],"manifold":[35],"structure,":[36],"nets":[38,68,90,99],"essentially":[39],"improve":[40],"performances":[42],"shallow":[44,72,105],"(shallow":[47],"without":[49],"requiring":[50],"additional":[51],"capacity":[52],"costs.":[53],"Conversely,":[54],"some":[57],"features,":[59],"smoothness,":[63],"show":[65,83],"that":[66,97],"perform":[69],"similar":[70],"nets,":[73],"provided":[74],"depth":[76],"is":[77],"not":[78,101],"extremely":[79],"large.":[80],"Both":[81],"sides":[82],"advantages":[85],"limitations":[87],"demonstrate":[96],"are":[100],"always":[102],"better":[103],"than":[104],"nets.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
