最近鄰域分類 的英文怎麼說

中文拼音 [zuìjìnlīnyùfēnlèi]
最近鄰域分類 英文
nearest neighbor classification
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 域 : 名詞（在一定疆界內的地方; 疆域） land within certain boundaries; territory; region
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 近鄰 : near neighbour; neighbour; close neighbour
  1. 423 persons answered the questionnaires and 139 out of them were identified as ecotourists. the result of classification is proved to be effective by prediction validity test, content validity test, theory validity test and convergence validity test. in addition, the ecotourists were classified as hard ecotourists, frequent ecotourists and occasional ecotourists farther according to the times they traveled to nature - based destinations every year and their new ecological paradigm grade which is used to evaluate the visitors attitude to environment. frequent ecotourists and occasional ecotourists both fall category of soft ecotourists, so the " hard - soft " classification system is founded, which will help propel ecotourist studies in china to develop towards the current international mainstream of the field

    以北京市百花山自然保護區為例，在總結國外相關研究經驗的基礎上，採用k階最近鄰knn和反向傳播bp前饋型多層神經網路所構成的綜合分類器對百花山遊客中的生態旅遊者進行識別，又根據「每年去相對原始的自然區域的旅遊次數」和環境態度尺度nep得分兩項指標將生態旅遊者進一步細分為嚴格的生態旅遊者經常的生態旅遊者和偶爾的生態旅遊者，其中經常的生態旅遊者和偶爾的生態旅遊者歸為一般的生態旅遊者，從而構建起嚴格的一般的生態旅遊者分類體系。
  2. The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design

    首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。
分享友人
分享到 Line

分享到臉書