kernel class 中文意思是什麼
kernel class
解釋
核心類-
Is internationally first take china traditional culture in the typical character duke guan as the prototype, take loyal, righteousness, the kernel, brave, the letter, the ritual, the wisdom precipitates as the core duke guan spirit for the culture, simultaneously integrates five millennium histories the book of change culture, tries hard to make world - class “ the duke guan luck reason ” the brand
是國際上首家以中國傳統文化中典型人物關公為原型，以忠、義、仁、勇、信、禮、智為核心的關公精神為文化沉澱，同時融入五千年歷史的周易文化，力圖打造世界級的「關公福緣」品牌。 -
The distribution network to which dawncom do it best construct include more than 30 branches which have powerful impact all over the country. at the same time, the service antenna is further extended by more than 3000 kernel distributors and over ten thousands second - class distributors
和光所傾力建構的分銷網路共包括30多個在全國各地有相當影響力的分支機構，並通過三千余家核心經銷商和一萬余家次級經銷商進一步延伸了業務觸角。 -
Further, both kpca and kernel fisher discriminant can be proved to be two special cases of pkpca, and meanwhile pkpca successfully avoids the disadvantage of kfd that can only get ( class number - 1 ) eigenvectors
可以證明kpca和kfd是pkpca參數取極限的兩個特例。同時可以克服kfd只能求得（類別數? 1 ）個特徵向量的不足。 -
( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms
（ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。 -
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 the applied part, kernel method is used to improve the method of classification with one class training data. the improved method is combined with ground plane transformation method, so that information from monocular vision and stero vision can be fused effectively. based on this, a demo system of obstacle detecting in outdoor scenes is developed
在實踐應用部分，本文利用核函數方法，改造了現有的單類判別方法，並結合雙目視覺技術中的重投影方法，實現了單、雙目信息的有效融合，研製了一個自然場景下的障礙檢測實驗演示系統。 -
In the process of training classifiers, according to the characteristic of linear discrimination in the samples, different kernel functions and parameters are adopted in each two - class svm
在訓練svm分類器的過程中，根據舌象樣本中部分類別線性可分，而另一部分類別線性不可分的特點，採用了不同的核函數及其參數。 -
Five novel algorithms are proposed. they are pca support vector machine algorithm which is based on the idea of combination multi - class classification, weighted pca support vector machine algorithm, wavelet support vector machine borrowed idea from the kernel function, rs - svm dynamic prediction and fuzzy binary tree support vector machine. the performance and applications of the algorithms are studied in depth
本文分析和總結了現有的幾種典型支持向量機演算法，提出了基於組合式多類別分類器思想的pca支持向量機演算法、加權pca支持向量機演算法、借鑒核函數方法的小波支持向量機演算法、 rs - svm動態預測方法、模糊二叉樹支持向量機等演算法，對其演算法性能和應用作了深入研究。 -
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。 -
Now there are 5 constructive methods have been found, through which all of the complementary sequences whose length is 2 ' 10s26 " can be constructed. it was proved in this paper that it can determine which equivalence class is constructible or not by the feature seque nce. based on the reseach and computer we have got all the equivalence complementary sequence class with length of not more than 40, and found a new complementary sequences kernel with length of 20
經分析發現當序列長度n 4時，可以根據特徵序列來判斷互補序列等價類空間大小，這對實際應用中互補序列的選取具有一定意義；此外本文證明了互補序列等價類的唯一性，即不同的等價類不能包含相同的序列；對互補序列的各種構造方法進行分析，發現通過每種構造方法構造出的互補序列其特徵序列均具有某種特性，通過論證得出可以通過特徵序列來判斷互補序列是否是可構造的以及可以由哪種構造方法構造，並通過特徵序列證實了長度為20的互補序列的核的存在性。 -
The general class of kernel density estimates for positive associated samples
樣本下一般形式的密度估計 -
In the fifth chapter, we use the the methods of function theory establised a class of analytic reproducing kernel space, we call it a generalized arveson space. we study the relationship of these space, and obtain some intersting results, we also defined toeplitz c * - algebra on the generalized areveson space, obtain some results of toeplitz c * - algebra on the generalized areveson space
在第五章中，我們利用函數論的方法建立了更廣泛的一類解析的再生核空間，稱之為廣義arveson空間，討論了它的一些關系，並得到了一些有趣的結果。還定義了廣義arveson空間上的toeplitzc * -代數，建立了廣義arveson空間上的toeplitzc * -代數的一些性質。 -
The first phase construction of group networking security determined the organizing framework of security management, established integrated security strategy and networking security management system, and solved the problem of uniform defense and concentrated control for the w hole network virus, the security problem of transmission of the ddn special line, and the problem of accessing control of the important networks and networking servers by combining with corresponding security technique, anti - virus technique, firewall technique, invasion detected technique, and risk evaluation technique, etc, and implemented the security defenses for the weakest level ( transmission security of inter - region mainline network ) and kernel level ( multi - lans in first class secret units ) in the system
集團網路安全一期建設確定了安全管理組織機構、制定了整體安全策略和網路安全管理制度，並結合相應安全技術防病毒技術、防火墻技術、入侵檢測技術、風險評估技術等，解決了全網病毒的統一防範集中控管問題、 ddn專線上的傳輸安全問題、重要網路及網路服務器的訪問控制問題等。實現了系統的最薄弱層（跨地域主幹網路傳輸安全） 、核心層（多個一級保密單位局域網）的安全防範。 -
For computing kernel, ooparafea, a complete new integrated fea class library ( including database class library, basic fea class library, digital model class library and so on ) has been built based on the analysis of many former class hierarchies. linear / nonlinear, serial / parallel analysis and sub - strucutre method have been realized in ooparafea
在深入分析已有研究成果的基礎上，論文提出了一個獨特而又不失一般性的、較為全面的、面向對象的、基於網路的集成限元分析類庫並完成全部的程序實現，可利用子結構法，互動式的進行線性、非線性分析，還可通過網路進行遠程同構異構系統平臺下的串、并行分散式有限元分析。 -
For the parallel analysis, several interfaces have been developed, on one hand, in order to parallelize the existing serial fea codes and make the system practical, some parallel solver library has been integrated into ooparafea ; on the other hand, ooparafea can also integrate self - developed module into its analysis kernel, in fact, it has already integrated parallel cg solver and parallel pcg solver up to now. in webfea, just like other parts in netfeaf, the class hierarchy ( including two dimension fea class library, three dimension fea class library, internet based fem computer aided instruction and so on ) is introduced first, and the control center which integrated httpserver ( used for building internet project web site ) and computingserver ( dealing with different computing tasks ) takes charge of the whole system. netgrawcad is the application of netfeaf in civil engineering, which offers civil engineers a network based works
論文還開發了全新用途的網路服務中心，包括http服務器、計算服務器，以及各種用途的計算客戶端：利用java語言的網路通信、界面處理能力結合集群的密集并行計算能力一起完成特定的計算任務，從而使集群計算與web計算很好的集成在一起； webfea作為一種應用客戶端，配合netfeaf集成系統的各個計算組成部分，可以實現一個比較全面的有限元分析方法的計算機輔助課件；當前基於web的各種應用越來越廣泛，但將基於網路的工程設計與有限元分析系統的面向對象構建其引入有限元分析以及土木工程設計領域還不多，基於netfeaf系統，作者又利用面向對象的方法實現了基於網路的重力式碼頭cad集成系統，以從根本上改變傳統的工程分析設計軟體的運行思路，使網路變成土木工程師的日常工作中心，系統部分成果通過鑒定（文通部鑒定為「國內領先，可以大大提高設計效率，建議在水運行業內盡快推廣使用」 ）推出后的良好試用效果，使面向對象的方法在土木工程分析設計軟體系統研製中的優勢得到進一步驗證。 -
For a link is an open source project that addresses these linux kernel issues for enterprise class machines, with 8 - way scalability and beyond
中的鏈接）是一個開放源碼項目，解決了用於企業級機器的linux內核問題，這些機器的可伸縮性達到8路或更高。 -
The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。
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