{"id":"https://openalex.org/W2082440897","doi":"https://doi.org/10.1002/scj.4690270306","title":"Image screening based on projection pursuit for statistical image recognition","display_name":"Image screening based on projection pursuit for statistical image recognition","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W2082440897","doi":"https://doi.org/10.1002/scj.4690270306","mag":"2082440897"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690270306","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690270306","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","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/A5033383477","display_name":"Koichi Arimura","orcid":"https://orcid.org/0000-0003-2455-9506"},"institutions":[{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]},{"id":"https://openalex.org/I4210119350","display_name":"Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro","ror":"https://ror.org/01t264m74","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210119350"]}],"countries":["IT","JP"],"is_corresponding":false,"raw_author_name":"Koichi Arimura","raw_affiliation_strings":["Koichi Arimura received his B.E. and M.E. degrees in Administration Engineeringfrom Keio University in Japan, in 1981 and 1983, respectively. In 1983, he joined Nippon Telegraph and Telephone Public Corporation (now NTT) where he was engaged in research on computer vision and visual perception. From 1990 to 1993 he was with the ATR Auditory and Visual Perception Research Department, Kyoto, Japan. In 1993, he was a Visiting Researcher at the A.I. Lab. in M.I.T. He is currently a Senior Research Scientist in \u201cTT\u201d Basic Research Laboratories and is engaged in research on pattern recognition and machine vision","NTT Basic Research Laboratories, Atsugi, Japan 243"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koichi Arimura received his B.E. and M.E. degrees in Administration Engineeringfrom Keio University in Japan, in 1981 and 1983, respectively. In 1983, he joined Nippon Telegraph and Telephone Public Corporation (now NTT) where he was engaged in research on computer vision and visual perception. From 1990 to 1993 he was with the ATR Auditory and Visual Perception Research Department, Kyoto, Japan. In 1993, he was a Visiting Researcher at the A.I. Lab. in M.I.T. He is currently a Senior Research Scientist in \u201cTT\u201d Basic Research Laboratories and is engaged in research on pattern recognition and machine vision","institution_ids":["https://openalex.org/I4210119350"]},{"raw_affiliation_string":"NTT Basic Research Laboratories, Atsugi, Japan 243","institution_ids":["https://openalex.org/I4210105847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058513264","display_name":"Norihiro Hagita","orcid":"https://orcid.org/0000-0001-8007-4701"},"institutions":[{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]},{"id":"https://openalex.org/I912014387","display_name":"Keihin (Japan)","ror":"https://ror.org/03jvjps27","country_code":"JP","type":"company","lineage":["https://openalex.org/I912014387"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihiro Hagita","raw_affiliation_strings":["NTT Basic Research Laboratories, Atsugi, Japan 243","Norihiro Hagita received his B.E., M.E. and Ph.D. degrees in Electrical Engineering from Keio University in Japan, in 1976, 1978 and 1986, respectively. In 1978, he joined Nippon Telegraph and Telephone Public Corporation (now Nrr) where he was engaged in research on Kanji character recognition. From 1989 to 1990 he was a Visiting Researcher in the Psychology Department at the University of California, Berkeley. He is currently a Senior Scientist, Supervisor in \u201cIT\u201d Basic Research Laboratories and is working on research on machine learning and a computational model of visual perception"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Basic Research Laboratories, Atsugi, Japan 243","institution_ids":["https://openalex.org/I4210105847"]},{"raw_affiliation_string":"Norihiro Hagita received his B.E., M.E. and Ph.D. degrees in Electrical Engineering from Keio University in Japan, in 1976, 1978 and 1986, respectively. In 1978, he joined Nippon Telegraph and Telephone Public Corporation (now Nrr) where he was engaged in research on Kanji character recognition. From 1989 to 1990 he was a Visiting Researcher in the Psychology Department at the University of California, Berkeley. He is currently a Senior Scientist, Supervisor in \u201cIT\u201d Basic Research Laboratories and is working on research on machine learning and a computational model of visual perception","institution_ids":["https://openalex.org/I912014387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31740788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"3","first_page":"60","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9921000003814697,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7622973918914795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.664704442024231},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6535323262214661},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6135917901992798},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.6026824116706848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5674135088920593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5589033365249634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5313770174980164},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.49154576659202576},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47703784704208374},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4264869689941406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42021918296813965},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41297098994255066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10767275094985962}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7622973918914795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.664704442024231},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6535323262214661},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6135917901992798},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.6026824116706848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5674135088920593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5589033365249634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5313770174980164},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.49154576659202576},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47703784704208374},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4264869689941406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42021918296813965},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41297098994255066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10767275094985962},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/scj.4690270306","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690270306","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1964724001","https://openalex.org/W2127003262","https://openalex.org/W2130259898","https://openalex.org/W2138451337","https://openalex.org/W2141684651","https://openalex.org/W2142838882","https://openalex.org/W2164371886","https://openalex.org/W2169326908","https://openalex.org/W4238957295","https://openalex.org/W6641705478"],"related_works":["https://openalex.org/W4253679632","https://openalex.org/W2312487961","https://openalex.org/W2371601355","https://openalex.org/W2367397236","https://openalex.org/W2373463565","https://openalex.org/W2354037709","https://openalex.org/W4241679393","https://openalex.org/W2788448464","https://openalex.org/W1772501953","https://openalex.org/W2352640762"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"preprocessing":[2],"method,":[3],"called":[4],"image":[5,18,40,65,120,128,147,171],"screening,":[6],"is":[7,30,79,95,105,130,148],"presented":[8],"to":[9,81,115,132,150,161,175],"improve":[10],"the":[11,39,49,55,61,82,87,108,117,133,138,141,145,151,163,173,177,195],"recognition":[12,104,135,152,196],"rate":[13,126,136,143],"and":[14,54,140,165,172,198],"efficiency":[15],"in":[16,27,37,48,60,127,168,180],"statistical":[17],"recognition.":[19],"The":[20,100,124],"problem":[21,36],"of":[22,46,58,76,113,119,137,144,156],"detecting":[23],"a":[24,33,44,73,169,181],"specified":[25],"object":[26,51,83],"input":[28],"images":[29],"treated":[31],"as":[32],"two\u2010class":[34],"classification":[35],"which":[38],"falls":[41],"into":[42],"both":[43],"set":[45,57,75,89],"subimages":[47,59,77],"target":[50],"(figure)":[52],"class":[53],"other":[56,174],"ground":[62],"class.":[63],"An":[64],"screening":[66,91,121,129],"algorithm":[67],"based":[68,96],"on":[69,97],"projection":[70,98],"pursuit":[71],"selects":[72],"candidate":[74],"that":[78,191],"similar":[80],"class,":[84],"it":[85],"rejects":[86],"remaining":[88],"using":[90],"filters":[92],"whose":[93],"design":[94],"pursuit.":[99],"feature":[101],"space":[102],"for":[103,186],"obtained":[106],"from":[107],"selected":[109],"subimages.":[110],"Two":[111,154],"kinds":[112,155],"measures":[114],"evaluate":[116],"performance":[118],"are":[122],"defined.":[123],"error":[125],"related":[131,149],"total":[134],"system":[139],"rejection":[142],"noise":[146],"efficiency.":[153,199],"experiments":[157],"were":[158],"conducted,":[159],"one":[160],"detect":[162,176],"eye":[164],"mouth":[166],"areas":[167],"face":[170],"text":[178],"area":[179],"document":[182],"image.":[183],"Experimental":[184],"results":[185],"these":[187],"two":[188],"tasks":[189],"demonstrate":[190],"our":[192],"method":[193],"improves":[194],"accuracy":[197]},"counts_by_year":[],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}
