{"id":"https://openalex.org/W2888032246","doi":"https://doi.org/10.1109/icpr.2018.8545624","title":"How do Convolutional Neural Networks Learn Design?","display_name":"How do Convolutional Neural Networks Learn Design?","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2888032246","doi":"https://doi.org/10.1109/icpr.2018.8545624","mag":"2888032246"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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":"https://openalex.org/A5067342034","display_name":"Shailza Jolly","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shailza Jolly","raw_affiliation_strings":["University of Kaiserslautern, Kaiserlautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern, Kaiserlautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081518382","display_name":"Brian Kenji Iwana","orcid":"https://orcid.org/0000-0002-5146-6818"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Brian Kenji Iwana","raw_affiliation_strings":["Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082742691","display_name":"Ryohei Kuroki","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryohei Kuroki","raw_affiliation_strings":["Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051387162","display_name":"Seiichi Uchida","orcid":"https://orcid.org/0000-0001-8592-7566"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Uchida","raw_affiliation_strings":["Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1085","last_page":"1090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9990000128746033,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9990000128746033,"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":0.9937000274658203,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.8288043141365051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7673086524009705},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7323368787765503},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5768108367919922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4771263599395752},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45356225967407227},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44321608543395996},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4328416585922241},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4077025055885315},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3239086866378784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10450860857963562}],"concepts":[{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.8288043141365051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673086524009705},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7323368787765503},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5768108367919922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771263599395752},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45356225967407227},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44321608543395996},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4328416585922241},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4077025055885315},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3239086866378784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10450860857963562},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6834560726","display_name":"From Text Engineering to Text Science","funder_award_id":"17H06100","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1787224781","https://openalex.org/W1801907668","https://openalex.org/W1849277567","https://openalex.org/W2020120320","https://openalex.org/W2028571532","https://openalex.org/W2031489346","https://openalex.org/W2045455073","https://openalex.org/W2071238250","https://openalex.org/W2097117768","https://openalex.org/W2111993661","https://openalex.org/W2112796928","https://openalex.org/W2128901179","https://openalex.org/W2133824856","https://openalex.org/W2141125852","https://openalex.org/W2144554289","https://openalex.org/W2156332201","https://openalex.org/W2195388612","https://openalex.org/W2295107390","https://openalex.org/W2521500513","https://openalex.org/W2561412020","https://openalex.org/W2574787443","https://openalex.org/W2605982830","https://openalex.org/W2691573567","https://openalex.org/W2765793020","https://openalex.org/W2765940104","https://openalex.org/W2962772269","https://openalex.org/W2962883796","https://openalex.org/W2963055656","https://openalex.org/W2963733622","https://openalex.org/W2964045325","https://openalex.org/W3005000804","https://openalex.org/W3106250896","https://openalex.org/W4229494842","https://openalex.org/W6638230657","https://openalex.org/W6639204139","https://openalex.org/W6683013896","https://openalex.org/W6727323963","https://openalex.org/W6731992462","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W4245429118","https://openalex.org/W4205110281","https://openalex.org/W4212927854","https://openalex.org/W4211151614","https://openalex.org/W4244798043","https://openalex.org/W4361866086","https://openalex.org/W4251969024","https://openalex.org/W4250793136"],"abstract_inverted_index":{"In":[0,61,112],"this":[1],"paper,":[2],"we":[3,75],"aim":[4],"to":[5,29,35,44,63,94],"understand":[6,64],"the":[7,70,77,85,96,105,115],"design":[8,102,106],"principles":[9],"in":[10,24],"book":[11,46,86,100,127],"cover":[12,49,87,101,128],"images":[13],"which":[14,31,53],"are":[15,22,130],"carefully":[16],"crafted":[17],"by":[18],"experts.":[19],"Book":[20],"covers":[21],"designed":[23],"a":[25,73],"unique":[26],"way,":[27],"specific":[28],"genres":[30,47,55],"convey":[32],"important":[33],"information":[34],"their":[36],"readers.":[37],"By":[38],"using":[39],"Convolutional":[40],"Neural":[41],"Networks":[42],"(CNN)":[43],"predict":[45],"from":[48],"images,":[50],"visual":[51,66],"cues":[52],"distinguish":[54],"can":[56],"be":[57],"highlighted":[58],"and":[59,103,120],"analyzed.":[60],"order":[62],"these":[65],"clues":[67],"contributing":[68,108],"towards":[69,109],"decision":[71],"of":[72,79,99,117],"genre,":[74],"present":[76],"application":[78],"Layer-wise":[80],"Relevance":[81],"Propagation":[82],"(LRP)":[83],"on":[84],"image":[88],"classification":[89],"results.":[90],"We":[91],"use":[92,116],"LRP":[93],"explain":[95],"pixel-wise":[97],"contributions":[98],"highlight":[104],"elements":[107],"particular":[110],"genres.":[111],"addition,":[113],"with":[114],"state-of-the-art":[118],"object":[119],"text":[121],"detection":[122],"methods,":[123],"insights":[124],"about":[125],"genre-specific":[126],"designs":[129],"discovered.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}