kernel distance 中文意思是什麼
kernel distance
解釋
核心距-
An ideal plan model of intelligent long - distance meter reading system was educed based on arm kernel 32 bit microprocessor by introducing embedded software technique, which will accelerate development of long - distance meter reading system in intelligent residential area for the future
通過對嵌入式軟體技術的具體描述，得出了基於arm核32位處理器的智能遠程抄表系統的理想設計模型，對未來智能小區遠程抄表系統發展有一定的指導意義。 -
5. anew feature extraction algorithm in kernel space is proposed, which uses the bhattacharyya distance as its criterion function
T根據高維核空間的性質，提出了基於bhattach叩a距離準則的核空間特徵提取演算法（ bgye ） 。 -
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。 -
The designing scheme of this image monitoring network adopt the designing idea of the integration modularize. with the server as its kernel, the network introduces the photography theory of the digital camera and combines the technologies of high speed single - chip computer ( w77e58 ), fpga, high speed cmos image sensor, dot - matrix photo lcd and high speed network transmission. moreover it overcomes some problems of the digital camera in the image monitoring application such as without the network interface, transmission distance shorter and unable to control the information, and establishes a technology foundation for the further application of the techniques mentioned above in this development
本套圖像監測網路的設計方案採用集成模塊化的設計思想，以服務器為核心，藉助數碼相機攝像原理，融合高速單片機w77e58技術、 fpga技術、高速cmos圖像傳感器技術、點陣圖形液晶和高速網路傳輸等技術，克服了數碼相機在圖像監測應用中不帶網路介面、傳輸距離較近和信息不能受控等問題，為本研究方向對以上各種使用技術的進一步應用奠定了技術基礎。 -
2. according to distribution characteristic of recipes, a recipe fuzzy cluster algorithm based on kernel - function was presented. firstly one recipe kernel - function was defined to represent recipe class, through minimizing all the distance of recipe samples to recipe class kernel, recipe samples were classed. the class number was gave out and each recipe was gave membership degrees belong to each classes
2 、根據配方的模式分佈特點，提出了一種基於類核函數的配方模糊聚類演算法，定義一個配方類核函數來代表配方類，通過最小化所有配方樣本到配方類核距離加權和來對配方進行聚類，得到聚類數目及模糊隸屬度矩陣。 -
In training process, we use kernel - based fisher discrimination analysis ( kfda ) method to train the input sample vectors. the method has been used in face recognition and has been demonstrated better recognition capability than other methods ( pca, kpca, svm ). we calculate the optimal subspace wopt and project the sample gait sequences to wopt, then get the tracks of the sequences, calculate the track centroid and calculate the exemplar projection centroid of the sequences in the same class, and the exemplar projection centroid represents the class template. to test the class of a gait sequence, we also project the test sequence to the eigenspace, and calculate the track centroid, then calculate the euclidean distance of the test sequence tracking centroid with the sample sequences ’ exemplar projection centroids. and the class which the test sequence belongs to is the one that the sample sequence which the euclidean distance is shortest belongs to
該方法在人臉識別的研究中已有採用並在同樣測試條件下取得比其他識別方法更好的識別性能。採用kfda方法取得最優特徵空間wopt ，把步態樣本序列映射到wopt中，取得樣本序列在特徵空間中的軌跡，計算軌跡質心，把同類樣本序列的軌跡質心進行平均求得該類的標本投影軌跡質心，作為該類的模板。在識別時，將測試序列也投影到特徵空間中，取得序列軌跡質心，對測試序列軌跡質心與樣本的標本投影軌跡質心計算它們的歐氏距離。
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