LEARNING CONTROL PROGRAM, INFORMATION PROCESSING APPARATUS, AND LEARNING CONTROL METHOD
To allow effective learning of an identifier.SOLUTION: It is determined whether or not a result of determination for identification result information of identification processing carried out for a processing target image by a first discriminator of a plurality of discriminators is matched with a di...
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| creator | ZHENG MINGBIAN BABA TAKAYUKI MIYAZAKI NOBUHIRO TAKEBE HIROAKI ISHIHARA MASAKI |
| description | To allow effective learning of an identifier.SOLUTION: It is determined whether or not a result of determination for identification result information of identification processing carried out for a processing target image by a first discriminator of a plurality of discriminators is matched with a discrimination result of discrimination processing for the processing target image by two or more second discriminators other than the first discriminator of the plurality of discriminators. Based on the determination result, a range of re-learning using the determination result obtained by the plurality of discriminators is controlled.SELECTED DRAWING: Figure 7
【課題】識別器を効率的に学習できるようにする。【解決手段】複数の識別器のうちの第１の識別器により処理対象画像に対して行なわれた識別処理の識別結果情報に対する判断結果が、複数の識別器のうちの第１の識別器以外の２つ以上の第２の識別器により処理対象画像に対して行なわれた識別処理の識別結果と一致するか否かを判定し、当該判定結果に基づいて、複数の識別器における判断結果を用いた再学習の範囲を制御する。【選択図】図７ |
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【課題】識別器を効率的に学習できるようにする。【解決手段】複数の識別器のうちの第１の識別器により処理対象画像に対して行なわれた識別処理の識別結果情報に対する判断結果が、複数の識別器のうちの第１の識別器以外の２つ以上の第２の識別器により処理対象画像に対して行なわれた識別処理の識別結果と一致するか否かを判定し、当該判定結果に基づいて、複数の識別器における判断結果を用いた再学習の範囲を制御する。【選択図】図７</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211227&DB=EPODOC&CC=JP&NR=2021196770A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211227&DB=EPODOC&CC=JP&NR=2021196770A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHENG MINGBIAN</creatorcontrib><creatorcontrib>BABA TAKAYUKI</creatorcontrib><creatorcontrib>MIYAZAKI NOBUHIRO</creatorcontrib><creatorcontrib>TAKEBE HIROAKI</creatorcontrib><creatorcontrib>ISHIHARA MASAKI</creatorcontrib><title>LEARNING CONTROL PROGRAM, INFORMATION PROCESSING APPARATUS, AND LEARNING CONTROL METHOD</title><description>To allow effective learning of an identifier.SOLUTION: It is determined whether or not a result of determination for identification result information of identification processing carried out for a processing target image by a first discriminator of a plurality of discriminators is matched with a discrimination result of discrimination processing for the processing target image by two or more second discriminators other than the first discriminator of the plurality of discriminators. Based on the determination result, a range of re-learning using the determination result obtained by the plurality of discriminators is controlled.SELECTED DRAWING: Figure 7
【課題】識別器を効率的に学習できるようにする。【解決手段】複数の識別器のうちの第１の識別器により処理対象画像に対して行なわれた識別処理の識別結果情報に対する判断結果が、複数の識別器のうちの第１の識別器以外の２つ以上の第２の識別器により処理対象画像に対して行なわれた識別処理の識別結果と一致するか否かを判定し、当該判定結果に基づいて、複数の識別器における判断結果を用いた再学習の範囲を制御する。【選択図】図７</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAj3cXUM8vP0c1dw9vcLCfL3UQgI8ncPcvTVUfD0c_MP8nUM8fT3Awk6uwYHg9Q5BgQ4BjmGhAbrKDj6uShg6Pd1DfHwd-FhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGRoaGlmbm5gaOxkQpAgBJ5zGy</recordid><startdate>20211227</startdate><enddate>20211227</enddate><creator>ZHENG MINGBIAN</creator><creator>BABA TAKAYUKI</creator><creator>MIYAZAKI NOBUHIRO</creator><creator>TAKEBE HIROAKI</creator><creator>ISHIHARA MASAKI</creator><scope>EVB</scope></search><sort><creationdate>20211227</creationdate><title>LEARNING CONTROL PROGRAM, INFORMATION PROCESSING APPARATUS, AND LEARNING CONTROL METHOD</title><author>ZHENG MINGBIAN ; BABA TAKAYUKI ; MIYAZAKI NOBUHIRO ; TAKEBE HIROAKI ; ISHIHARA MASAKI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2021196770A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHENG MINGBIAN</creatorcontrib><creatorcontrib>BABA TAKAYUKI</creatorcontrib><creatorcontrib>MIYAZAKI NOBUHIRO</creatorcontrib><creatorcontrib>TAKEBE HIROAKI</creatorcontrib><creatorcontrib>ISHIHARA MASAKI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHENG MINGBIAN</au><au>BABA TAKAYUKI</au><au>MIYAZAKI NOBUHIRO</au><au>TAKEBE HIROAKI</au><au>ISHIHARA MASAKI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>LEARNING CONTROL PROGRAM, INFORMATION PROCESSING APPARATUS, AND LEARNING CONTROL METHOD</title><date>2021-12-27</date><risdate>2021</risdate><abstract>To allow effective learning of an identifier.SOLUTION: It is determined whether or not a result of determination for identification result information of identification processing carried out for a processing target image by a first discriminator of a plurality of discriminators is matched with a discrimination result of discrimination processing for the processing target image by two or more second discriminators other than the first discriminator of the plurality of discriminators. Based on the determination result, a range of re-learning using the determination result obtained by the plurality of discriminators is controlled.SELECTED DRAWING: Figure 7
【課題】識別器を効率的に学習できるようにする。【解決手段】複数の識別器のうちの第１の識別器により処理対象画像に対して行なわれた識別処理の識別結果情報に対する判断結果が、複数の識別器のうちの第１の識別器以外の２つ以上の第２の識別器により処理対象画像に対して行なわれた識別処理の識別結果と一致するか否かを判定し、当該判定結果に基づいて、複数の識別器における判断結果を用いた再学習の範囲を制御する。【選択図】図７</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | LEARNING CONTROL PROGRAM, INFORMATION PROCESSING APPARATUS, AND LEARNING CONTROL METHOD |
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