feature space 中文意思是什麼

feature space 解釋
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  • feature : n 1 形狀，外形；特色；（特指）好看的外表；〈pl 〉臉形；五官；面目，容貌，面貌，相貌。2 臉面的一部...
  • space : n 1 空間；太空。2 空隙，空地；場地；（火車輪船飛機中的）座位；餘地；篇幅。3 空白；間隔；距離。4 ...
  1. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  2. Svm maps input vectors nonlinearly into a high dimensional feature space and constructs the optimum separating hyperplane in the spade to realize modulation recognition

    支撐矢量機把各個識別特徵映射到一個高維空間，並在高維空間中構造最優識別超平面分類數據，實現通信信號的調制識別。
  3. Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace, we use a mixture of linear subspaces to model the distribution efface and non - face patterns. in the other words, we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space

    對于背景復雜的人臉圖象的檢測，使用單個線性線性子空間很難準確地區分出人臉和非人臉模式，因此，本文使用混合線性子空間對人臉和非人臉樣本的分佈進行建模，在利用自組織映射神經網路標識人臉和非人臉樣本的基礎上構建一個fisher人臉檢測器。
  4. On the basis of this model, the concept of contact feature space is proposed

    在此基礎上提出了接觸特徵空間的概念。
  5. Spectrum feature space

    波譜特徵空間
  6. And relations between contact feature space and tools ' surface meshes are established

    並建立了接觸特徵空間和模具曲面網格的對應關系。
  7. This two kinds of methods make a good use of the information supplied by multiple - dimensional feature space and enhance the accuracy of segmentation

    這兩種方式有效地利用了多維特徵空間對于分割目標所提供的信息，使分割的準確性有了較大的提高。
  8. In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model

    在人臉跟蹤領域，本文對比了當前幾種主要的相似度匹配方法，採用了一種基於特徵空間模型的人臉跟蹤方法。
  9. By using kernel functions, the data in the original space was mapped into a high - dimensional feature space, in which more features of the data were exposed so that clustering could be performed efficiently

    核函數的非線性映射使得原始數據的特徵更完整地顯現出來，從而能夠更客觀準確地聚類。
  10. Pattern recognition problems of large scale ( prpls ) refer to those with a feature space of high dimensionality and a data set with large amount of samples that belong to many different classes

    大規模模式識別問題特指一類特定的模式識別問題。該類問題的特點是，特徵空間維數高，樣本數量大而且所涉及的類別數目多。
  11. In this thesis, on the basis of giving a tutorial introduction to this topic, we present new visual mapping models which combine the robot work space with the image feature space tightly and new visual tracking controllers based on artificial neural network

    本文在總結了目前機器人視覺伺服系統發展狀況的基礎上，通過構建新的非線性西安理工大學博士學位論文視覺映射模聽j將圖像特徵空間與機器人運動空間緊密地聯系起來，提出了基少人
  12. In the fact that different kind of audio has different distribution, audio classification can be achieved by the degree of distribution similarity in the feature space between the unknown audio and the audio trained be fore

    根據不同種類的音頻數據有不同分佈這一事實，比較未知音頻與已知音頻種類的數據在特徵空間中的分佈情況的近似程度，就可完成音頻分類。
  13. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
  14. The data is nonlinearly mapped into high dimensional kernel space at first. then a set of feature vectors can be found such that the bhattacharyya distance of the classes mapped into lower dimensional feature space by feature vectors is maximized. thus the upper

    該演算法採用核函數把樣本非線性映射到高維核空間，在核空間中尋找一組最優的特徵向量，把樣本線性映射到低維特徵空間，使類別之間的bhattach刪a距離最大，從而使特徵空間中樣本的baycs分類誤差上界最小。
  15. Different sections of image have different textures, and different laws features obtained from wavelet transformation form a feature space. the points in the feature space are clustered to form different regions according to k - mean value clustering method, and then the regions are mapped to original image space to get the result of image segmentation

    利用圖象中不同的部分具有不同的紋理特徵，採用小波變換的多尺度特性以獲取多尺度、多方向上的紋理能量特徵組成特徵空間，利用k -均值聚類方法將特徵空間的點聚類成團，然後再將它們映射回原圖象空間得到圖象分割的結果。
  16. A general review of recent development and application of the technology of remote - sensing in monitoring soil moisture was done with emphasis on introducing the relatively mature and extensively used feature space method and microwave remote - sensing method based on visible light and thermal infrared bands

    摘要對于近年來國內外遙感監測土壤水分的理論、方法的發展和應用進行了全面的回顧，重點介紹了目前已經比較成熟和廣泛應用的基於可見光與熱紅外波段的特徵空間方法和微波遙感方法。
  17. The framework suppose that the image ' s semantic feature can be expressed by using a multi - level attribute tree, and the probability of a certain image having a certain attribute can be estimated by interpolation method using the neighboring image ' s value. here, the neighboring relation refers to the neighboring in the low - level feature space

    該框架假定圖像的語義特徵可用多層屬性樹來近似表示，並且圖像擁有某個屬性的概率值可由相鄰的圖像的概率值進行插值估計，框架中的相鄰指圖像在底層特徵空間的相鄰。
  18. The proposed indicator kriging classification algorithm has the following advantages : ( 1 ) it can deal with anisotropic problem in feature space, ( 2 ) it is a nonparametric method, and need not to know the type of probability distribution, and ( 3 ) it yields 100 % classification accuracy for the training data

    此分類法具有如下之優點： （ 1 ）可處理特徵空間中非等向分佈之問題， （ 2 ）該方法屬于無母數分類法，不需假設各類特徵之機率分佈類型， （ 3 ）對訓練像元之分類正確率可達100 。
  19. It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multiplicative noise and additive noise, respectively. thus, we use a parallel model combination ( pmc ) algorithm, which is deployed in model space, to adapt the parameters of speech models to compensate the residual noise, or we use a cepstral mean normalization ( cmn ) algorithm in feature space to compensate both the speech distortion and the residual noise

    分析表明，語音失真和剩餘噪聲可近似看作乘性噪聲和加性噪聲，因此可在模型空間利用并行模型合併（ pmc ）演算法通過調整模型參數對剩餘噪聲進行補償，或者在特徵空間利用倒譜均值歸一化（ cmn ）演算法對語音失真和剩餘噪聲同時進行補償。
  20. To analyze the theory of bayesian algorithm and define a tcm symptom complex diagnose model. to define the feature space and its dimension. a demo of tcm symptom complex diagnosing is also build

    分析了貝葉斯演算法的工作原理，並建立起中醫證候診斷的模型：建立起以癥狀為維度的特徵空間，以證侯為分類目標的空間，初步建立起一個中醫證侯診斷的原型演示系統。
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