- feature extraction
noun (common) (futsuumeishi)
Forms
Generated definitions (experimental)
- feature extraction
This term refers to the process of transforming raw data into a format that is suitable for analysis by removing unnecessary features and highlighting essential characteristics. It is commonly used in various fields such as machine learning, image processing, and data analysis.
Generated collocations (experimental)
とくちょうちゅうしゅつ特徴抽出をおこなう行うto perform feature extractionじどう自動とくちょうちゅうしゅつ特徴抽出automatic feature extractionとくちょうちゅうしゅつ特徴抽出あるごりずむアルゴリズムfeature extraction algorithmとくちょうちゅうしゅつ特徴抽出ぎじゅつ技術feature extraction techniqueとくちょうちゅうしゅつ特徴抽出しょり処理feature extraction processしゅどう手動とくちょうちゅうしゅつ特徴抽出manual feature extractionがぞう画像とくちょうちゅうしゅつ特徴抽出image feature extractionおんせい音声とくちょうちゅうしゅつ特徴抽出audio feature extractionとくちょうちゅうしゅつ特徴抽出もでるモデルfeature extraction modelとくちょうちゅうしゅつ特徴抽出のじゅうよう重要せい性importance of feature extraction