WEKO3
インデックスリンク
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構造受精法と日本語単独母音の認識
https://bunkyo.repo.nii.ac.jp/records/3452
https://bunkyo.repo.nii.ac.jp/records/3452384755f1-117a-4b0b-a6e8-b587c87f6a08
名前 / ファイル | ライセンス | アクション |
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BKSJ180003.pdf (2.3 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2012-01-17 | |||||
タイトル | ||||||
タイトル | 構造受精法と日本語単独母音の認識 | |||||
タイトル | ||||||
タイトル | Method of Structural Fertilization and Recognition of Isolated Japanese Vowels | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | モデル構成作用素 | |||||
キーワード | ||||||
主題 | 類似度関数 | |||||
キーワード | ||||||
主題 | 大分類関数 | |||||
キーワード | ||||||
主題 | 不動点 | |||||
キーワード | ||||||
主題 | 構造受精変換 | |||||
キーワード | ||||||
主題 | model-construction operator | |||||
キーワード | ||||||
主題 | similarity-measure function | |||||
キーワード | ||||||
主題 | rough classifier | |||||
キーワード | ||||||
主題 | fixed point | |||||
キーワード | ||||||
主題 | structural fertilization | |||||
キーワード | ||||||
主題 | transformation | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
鈴木, 昇一
× 鈴木, 昇一 |
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著者 | ||||||
Suzuki, Shoichi | ||||||
所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
Bunkyo University Faculty of Information and Communications | ||||||
内容記述 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 抽出された特徴を用いてパターンの構造(モデル)を再生しながら、ある写像(構造受精変換)の不動点として、入力パターンの帰属するカテゴリの代表パターンのモデルを確保する多段階認識手法(構造受精法)が説明され、日本語単独母音に関する計算機シュミレーション結果が示されている。この手法は、モデル構成作用素、類似度関数、大分類関数を各変換段階で用い、入力パターンの帰属するカテゴリを仮決定しながら、次の段階へと進むとき、その仮決定を訂正できる機能がある多段的構成がとられている。 正規化・特徴抽出・識別の3段階を統一した一つの考えで処理可能なパターン認識理論はいまだ存在していないと思われているが、本手法はその様な予想と異なり、その1つの存在を明らかにしている。 \n A pattern reproduced with help of a set of features extracted from an original pattern and a set of primitive shape-components common to all patterns is called a model corresponding to the original pattern. A given input pattern is transformed into a sequence of models obtained at each stage using model-construction operators, similarity-measure functions and rough classifiers, and is classified as a fixed point of a structural-fertilization transformation that is the model corresponding to the typical pattern of the category to which the input pattern may belong . A result of a computer simulation is presented 'here applying the recognition method to a set of isolated Japanese vowels. The multistage decision process seems to be possessed of seeking for highly probable categories at a new stage determining the temporary categories of the input pattern at an old stage. Most people have not believed in the existence of a pattern- recognition theory which can deal with the normalization, the feature-extraction and the classification of a pattern to be recognized in a unified manner. The theory presented here may be one of some such theories. |
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書誌情報 |
情報研究 en : Information and Communication Studies 巻 18, p. 17-51, 発行日 1997-01-01 |
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ISSN | ||||||
収録物識別子 | 03893367 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
本文言語 | ||||||
日本語 | ||||||
ID | ||||||
BKSJ180003 | ||||||
作成日 | ||||||
日付 | 2012-01-17 |