JP7313828B2 - 情報処理装置、情報処理方法、及びプログラム - Google Patents

情報処理装置、情報処理方法、及びプログラム Download PDF

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JP7313828B2
JP7313828B2 JP2019008776A JP2019008776A JP7313828B2 JP 7313828 B2 JP7313828 B2 JP 7313828B2 JP 2019008776 A JP2019008776 A JP 2019008776A JP 2019008776 A JP2019008776 A JP 2019008776A JP 7313828 B2 JP7313828 B2 JP 7313828B2
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侑輝 斎藤
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Canon Inc
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JP7552893B2 (ja) * 2021-05-25 2024-09-18 日本電気株式会社 不正検知システム、不正検知方法および不正検知プログラム
JP2023035053A (ja) * 2021-08-31 2023-03-13 キヤノン株式会社 情報処理装置およびその制御方法、学習装置
JP2023045168A (ja) * 2021-09-21 2023-04-03 学校法人帝京大学 医用画像診断支援装置、医用画像診断支援方法およびプログラム
JP7556340B2 (ja) * 2021-10-14 2024-09-26 トヨタ自動車株式会社 材料のスペクトルデータを用いた材料種類同定システム
JP7687186B2 (ja) 2021-10-26 2025-06-03 富士通株式会社 推論プログラム、学習プログラム、推論方法および学習方法
JP2023064439A (ja) 2021-10-26 2023-05-11 富士通株式会社 学習プログラム、学習方法および情報処理装置
CN114139686B (zh) * 2021-12-06 2025-06-27 南京航空航天大学 基于能量和镜像生成对抗网络的异常检测方法
JP2023136262A (ja) * 2022-03-16 2023-09-29 グローリー株式会社 情報処理装置および情報処理方法
JP2023168966A (ja) * 2022-05-16 2023-11-29 ブラザー工業株式会社 コンピュータプログラム、および、検査装置
JP7715120B2 (ja) * 2022-10-19 2025-07-30 トヨタ自動車株式会社 異常検知装置、異常検知方法及び異常検知用コンピュータプログラム

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004220555A (ja) 2002-12-27 2004-08-05 Fuji Photo Film Co Ltd 画像から被写体領域を抽出する装置、方法、プログラムおよびプログラムを記録した記録媒体
JP2016015116A (ja) 2014-06-12 2016-01-28 パナソニックＩｐマネジメント株式会社 画像認識方法、カメラシステム
JP2016133944A (ja) 2015-01-19 2016-07-25 株式会社日立製作所 異常診断分析装置
WO2016117358A1 (ja) 2015-01-21 2016-07-28 三菱電機株式会社 検査データ処理装置および検査データ処理方法
WO2018180197A1 (ja) 2017-03-28 2018-10-04 日本電気株式会社 データ解析装置、データ解析方法およびデータ解析プログラム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004220555A (ja) 2002-12-27 2004-08-05 Fuji Photo Film Co Ltd 画像から被写体領域を抽出する装置、方法、プログラムおよびプログラムを記録した記録媒体
JP2016015116A (ja) 2014-06-12 2016-01-28 パナソニックＩｐマネジメント株式会社 画像認識方法、カメラシステム
JP2016133944A (ja) 2015-01-19 2016-07-25 株式会社日立製作所 異常診断分析装置
WO2016117358A1 (ja) 2015-01-21 2016-07-28 三菱電機株式会社 検査データ処理装置および検査データ処理方法
WO2018180197A1 (ja) 2017-03-28 2018-10-04 日本電気株式会社 データ解析装置、データ解析方法およびデータ解析プログラム

Non-Patent Citations (9)

* Cited by examiner, † Cited by third party
Title
Alexander Sage et al.，"Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks"，2018 IEEE/CVF Conference on Computer Visionand Pattern Recognition，米国，IEEE，2018年06月18日，pp.5879-5888
Dong-Won Shin et al.，"Local Patch Descriptor Using Deep Convolutional Generative Adversarial Network for Loop Closure Detection in SLAM"，2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)，米国，IEEE，2017年12月15日，pp.546-549
Masoud Abdi et al.，"Discriminative Clustering of High-Dimensional Data Using Generative Modeling"，2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)，米国，IEEE，2018年08月05日，pp.799-802
Mennatallah Amer et al.，"Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner"，Proceedings of the 3rd RapidMiner Community Meeting and Conferernce (RCOMM 2012)，ドイツ，Shaker Verlag GmbH，2012年08月28日，pp.1-12，https://www.researchgate.net/publication/230856452
Shagan Sah et al.，"Multimodal Reconstruction Using Vector Representation"，2018 25th IEEE International Conference on Image Processing (ICIP)，米国，IEEE，2018年10月07日，pp.3763-3767
倉西 佐知、外２名，"時系列画像に基づく異常検出のための学習画像の検討"，映像情報メディア学会技術報告，日本，（一社）映像情報メディア学会，2016年02月15日，Vol.40, No.6，pp.269-274
小向 航平、外８名，"オートエンコーダによるデータ圧縮と分類器のラベル追加を両立したセンサネットワークモデル"，マルチメディア，分散，協調とモバイル（ＤＩＣＯＭＯ２０１８）シンポジウム論文集，日本，一般社団法人情報処理学会，2018年06月27日，Vol.2018, No.1，pp.1507-1516
鍜治 一祐、外２名，"パケットのヘッダ情報に基づく不審な通信挙動の検知"，情報処理学会研究報告，日本，情報処理学会，2018年02月26日，Vol.2018-IOT-40, No.33，pp.1-7
関口 浩、外２名，"複数音声の分離再構成に向けた聴覚数理モデル導出型ラダーネットワーク"，電子情報通信学会技術研究報告，日本，一般社団法人電子情報通信学会，2018年07月19日，Vol.118, No.160，pp.9-13

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