kernel polynomial 中文意思是什麼

kernel polynomial 解釋
核多項式
  • kernel : n 1 （果實的）核，仁。2 穀粒，麥粒。3 內核，核心，要點。4 【原子能】（原子）核。5 【數學】（積分...
  • polynomial : adj. 1. 【動、植】多詞學名的。2. 【數學】多項式的。n. 1. 【動、植】多詞學名。 2. 【數學】多項式。
  1. A new osculatory rational interpolation kernel function is established, which is different from the classical linear interpolation kernel functions. generally, it is a more accurate approximation for the ideal interpolation function than other linear polynomial interpolants functions. simulation results are also presented to demonstrate the superior performance of this new interpolation kernel function

    本文構造了一個全新的圖像插值核函數?自適應切觸有理插值核函數，同現有的線性插值核函數相比，其空域特性和頻域特性均最接近合肥工業大學博士論文理想插值核函數sinc函數。
  2. So finding the minimal polynomial of a block circulant matrix is transformed into computing the reduced grobner basis of a kernel of a ring homomorphism

    因此，將求域上塊循環矩陣的極小多項式轉化為求一個環同態的核的簡化gr （
  3. In this paper, we use nonparametric regression method in chinese financial time series, we also use both kernel regression after improving cross - validation function and local polynomial estimation of regression under mixing condition to study and analyze the volatility in chinese stock market

    在本文中，我們把非參數回歸的方法運用到我國實際的金融時間序列數據之中，討論了我國股價指數收益率序列的易變性。而在用非參數回歸進行估計時，選擇合適的窗寬有著重要的意義。
  4. Therefore, spca gotten via selecting polynomial kernel functions is more accurate than pca in multi - index evaluation system, and has fewer dimensions. comparatively, for spca using gauss kernel function and laplace kernel function, it is required to normalize original data according to the category, and the constructed evaluation functions are better than the ones constructed via using pca. however, if variance contribution of first principal component of pca is more than 85 %, evaluation function curves of spca and pca are similar

    在作多指標評價中，選用多項式核函數而得到的譜主成分分析，比主成分分析得到的主成分具有維數低且精度高的優點；而用gauss核函數和laplace核函數的譜主成分分析，需對原數據作同類別數據間的規范化，其構造的評價函數也優于用主成分方法構造的評價函數。
  5. When working in color mode, the module pursues to do the color regress work based on polynomial color regress algorithm, which make the images captured standard in color and brightness. while working in gray mode, the module transforms the color images to the gray ones, base on an algorithm which presented in this paper. the name of it is adaptable gray converting algorithm the merging module is the kernel of our capturing system

    當工作在彩色模式時，該模塊利用基於多項式線性回歸的演算法進行彩色圖像的顏色還原，使採集來的圖像在色彩和亮度上回歸到cie的標準色彩空間;工作在灰度模式時，該模塊利用本文提出的一種基於方差極值的自適應灰度轉換演算法進行彩色圖像轉灰度操作，自動實現了彩色轉灰度的過程中最大限度保留原有細節的目的。
  6. All kinds of the methods are proposed to estimate the nonparametric regression function, such as the kernel method, the local polynomial estimators, the smoothing spline, the series estimators ( b - spline estimator. fourier series estimator, wavelet series estimator )

    對于非參數回歸人們提出了許多估計方法，如核估計，局部多項式估計，光滑樣條估計，級數估計（傅里葉級數估計，小波級數估計）等。
  7. To obtain the fast matrix - vector multiplication algorithm, we approximate the kernel function with piece - wise polynomial and get the approximate coefficient matrix a using the approximate kernel function. let n be the number of quadrature points and k2 be the number of interpolating knots at each subdomain. it is proved that the construction of a and the matrix - vector multiplication ax require o ( nk ) operations respectively

    我們利用對核函數進行分片多項式插值逼近得到適用於快速方法的近似系數矩陣a ：矩陣a的計算和矩陣-向量相乘ax各需要o （ nk ）次運算，存貯a需要佔用o （ nk ）內存，其中n為積分節點的個數， k ~ 2為每個小區域的插值節點數。
  8. ( 3 ) the method of face recognition based on the gabor wavelet and support vector machine has been analyzed in details, which results in that some problems, such as the selection of the cumulative contribution rate in the principle component analysis, the choice of the order of polynomial kernel function, and the determination of the decision

    第三，細致分析了基於gabor小波和支持向量機的人臉識別演算法，歸納出該演算法在實際應用中所遇到的主要問題，即累積貢獻率選擇、多項式核函數階數的選擇、以及決策函數的確定，給出了累積貢獻率和多項式核函數的階數選擇規則，提出了支持向量機和最大值相結合的分類決策方法。
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