数ベクトル空間への手書き文字画像の写像による物理特徴操作とCNN分類精度改善 (知覚情報研究会・知覚情報技術の最前線)

数ベクトル空間への手書き文字画像の写像による物理特徴操作とCNN分類精度改善

(知覚情報研究会・知覚情報技術の最前線)

Journal name: 電気学会研究会資料. PI = The papers of Technical Meeting on "Perception Information", IEE Japan, / 知覚情報研究会 [編] 2022(39-46):2022.10.14

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Material Type: 記事
Title: 数ベクトル空間への手書き文字画像の写像による物理特徴操作とCNN分類精度改善
Author/Editor: 林一希
林純一郎
Series Title: 知覚情報研究会・知覚情報技術の最前線
Author Heading: 林一希
林純一郎
Alternative Title: Mapping Handwritten Character Image to Number Vector for Physical Feature Manipulation and CNN Classification Accuracy Improvement
Periodical title: 電気学会研究会資料. PI = The papers of Technical Meeting on "Perception Information", IEE Japan, / 知覚情報研究会 [編]
No. or year of volume/issue: 2022(39-46):2022.10.14
Volume: 2022
Issue: 39-46
Pages: 11-14
Publication date of volume/issue (W3CDTF): 2022-10-14
Publication (Periodical Title): 東京 : 電気学会
Place of Publication (Country Code): JP
Text Language Code: jpn
Subject Heading: 文字認識
手書き文字
GAN
くずし字
CNN
精度改善
Character Recognition
Handwritten Character
Kuzushi-ji
Improvement Accuracy
NDLC: ZM1
Target Audience: 一般
Report No. (Article): PI-22-041
Holding library: 国立国会図書館
Call No.: Z74-H598
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 032498310
http://id.ndl.go.jp/bib/032498310
Bibliographic Record Category (NDL): 632