{"id":"https://openalex.org/W2910327402","doi":"https://doi.org/10.1109/dicta.2018.8615799","title":"Data Augmentation using Evolutionary Image Processing","display_name":"Data Augmentation using Evolutionary Image Processing","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2910327402","doi":"https://doi.org/10.1109/dicta.2018.8615799","mag":"2910327402"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5051318929","display_name":"Kosaku Fujita","orcid":null},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kosaku Fujita","raw_affiliation_strings":["Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101628421","display_name":"Masayuki Kobayashi","orcid":"https://orcid.org/0000-0003-1688-3277"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Kobayashi","raw_affiliation_strings":["Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077771833","display_name":"Tomoharu Nagao","orcid":"https://orcid.org/0000-0002-2841-9538"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoharu Nagao","raw_affiliation_strings":["Yokohama National University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051318929"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":1.3031,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85786467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9969000220298767,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9944999814033508,"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":0.782672643661499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6981948018074036},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5563682913780212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5306828022003174},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5301631093025208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5214961767196655},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4863348603248596},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48256033658981323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47306621074676514},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44786280393600464},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4276527762413025},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4154525101184845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37016937136650085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09639307856559753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782672643661499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6981948018074036},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5563682913780212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5306828022003174},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5301631093025208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5214961767196655},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4863348603248596},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48256033658981323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47306621074676514},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44786280393600464},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4276527762413025},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4154525101184845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37016937136650085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09639307856559753},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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":23,"referenced_works":["https://openalex.org/W1512383952","https://openalex.org/W1517016597","https://openalex.org/W1576818901","https://openalex.org/W1899437639","https://openalex.org/W2099471712","https://openalex.org/W2147141800","https://openalex.org/W2153635508","https://openalex.org/W2155904486","https://openalex.org/W2156909104","https://openalex.org/W2166049352","https://openalex.org/W2334781337","https://openalex.org/W2604262106","https://openalex.org/W2751049198","https://openalex.org/W2767019926","https://openalex.org/W2770173563","https://openalex.org/W2775795276","https://openalex.org/W2804047946","https://openalex.org/W2951751045","https://openalex.org/W2963552443","https://openalex.org/W4245407374","https://openalex.org/W4295727797","https://openalex.org/W4320013936","https://openalex.org/W6744093492"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4390143830"],"abstract_inverted_index":{"In":[0,34,146],"the":[1,55,88,100,126,139,147,150,153,163,180],"machine":[2],"learning":[3],"community,":[4],"data":[5,28,50,72,90,112,157],"augmentation":[6,29,51],"techniques":[7],"have":[8],"been":[9,25],"widely":[10],"used":[11],"to":[12,18,27,74,87,122,142],"make":[13],"deep":[14],"neural":[15],"networks":[16],"invariant":[17],"object":[19],"transition.":[20],"However,":[21],"less":[22],"attention":[23],"has":[24],"paid":[26],"in":[30,77,103,125,183],"traditional":[31,43],"classification":[32,44],"methods.":[33],"this":[35,93],"paper,":[36],"we":[37,66,83,160],"take":[38],"a":[39,48,62,78,114],"closer":[40],"look":[41],"at":[42],"methods":[45],"and":[46,69,109,129],"introduce":[47],"new":[49,71,89,111],"technique":[52],"based":[53],"on":[54,138],"concept":[56],"of":[57,117,149,155],"image":[58,106],"transformation.":[59],"Starting":[60],"with":[61,169,179],"few":[63],"existing":[64],"examples,":[65],"add":[67],"noise":[68],"generate":[70,84],"points":[73],"reduce":[75,123],"sparseness":[76,124],"given":[79],"feature":[80,127],"space.":[81],"Then,":[82],"images":[85],"corresponding":[86],"points,":[91],"although":[92],"is":[94,102,158],"usually":[95],"an":[96,105,170],"ill-posed":[97],"problem.":[98],"Herein,":[99],"novelty":[101],"constructing":[104],"transformation":[107],"tree":[108],"generating":[110],"from":[113],"small":[115],"number":[116],"instances.":[118],"This":[119],"allows":[120],"us":[121],"space":[128],"build":[130],"more":[131],"robust":[132],"classifiers.":[133],"We":[134],"evaluate":[135],"our":[136,174],"method":[137,175],"Caltech-101":[140],"dataset":[141,172,182],"verify":[143],"its":[144],"potential.":[145],"context":[148],"situation":[151],"where":[152],"amount":[154],"training":[156],"limited,":[159],"demonstrate":[161],"that":[162],"support":[164],"vector":[165],"machine-based":[166],"classifiers":[167,177],"trained":[168,178],"augmented":[171],"using":[173],"outperform":[176],"original":[181],"most":[184],"cases.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}