feature matrix 中文意思是什麼
feature matrix
解釋
特徵矩陣-
In power system full dynandc simulation software, the adndttance matrixes of fault branches are adopted in the fault models to simulate arbitrary symmetrical and unsymmetrical faults, by use of contraction technique for adndttance matrix the multi - faults and the randomly occurred faults can be processed. the feature of this method is that the arbitrary multi - fault occurred in a branch can be simulated without any additional branches or buses to be added, thereby, the ca1culation efficiency and the expedience of usage are improved
本文提出採用故障支路導納陣處理復故障計算，該演算法可以對一條支路發生任意重故障進行處理，而不需要增加支路或節點，克服了目前常用的電力系統機電暫態程序在處理復故障時，一般要按照事先預想的故障類型以及故障和操作發生的位置增加新的節點和小開關支路的問題。 -
In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis
本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。 -
A new feature extracting algorithm based gray level co - occurrence matrix
一種新的灰度共現矩陣特徵提取演算法 -
In the second part ( including chapter 4 ), this paper applies gray level coocurrence matrix and image texture feature quantities to evaluate eliminate effect through computing the same sampling region selected. the results show that the three methods can eliminate solar eclipse impact on the satellite vis imagery so that the topography, cloud system texture and ocean current are distinct and differentiable and it is good for analyzing the clouds and weather systems on the cloud image. comparing the three methods, the improved geometry - model method is the most effective
研究結果表明：原幾何模型法、改進的幾何模型法和數學函數模型法基本都能消除日食對雲圖的影響，經過訂正處理后，各種特徵紋理變細，結構變清晰，信息增加，有利於雲圖上雲和天氣系統的識別和分析；三種方法的比較認為，改進的幾何模型法訂正效果最好，原幾何模型法的效果較差，數學函數模型法更加快速、簡便，但其涉及的主觀因素較多。 -
Main contents include man - made targets extraction based on scattering matrix, man - made targets extraction based on covariance matrix [ c ] and the extraction based on geometric feature. first, this dissertation provides an overview of the polsar theory
主要內容包括:基於散射矩陣的polsar圖像目標提取演算法，基於協方差矩陣polsar的目標提取演算法和基於幾何特徵的人造目標提取演算法等方面。 -
The simulation results show that the feature point detection and tracking algorithm is feasible. next, matched points based essential matrix estimation is studied. the spacecraft attitude and position parameters are derived from essential matrix and the scale of motion is recovered with range information from laser ranger taken in account
再次，研究基於匹配特徵點對的本質矩陣的估計演算法，給出了由本質矩陣求取空間探測器的姿態信息和位置信息的方法，並且結合激光測距儀信息，得到探測器的運動比例參數，實現軟著陸過程的導航。 -
Standard face images are formed through the above - mentioned processing. during the feature extraction, for those standard face images, regarding the between - class scatter matrix as generating matrix, we extract the algebraic features of face images through k - l transform and singular value decomposition
在人臉特徵提取過程中，對經過預處理的標準人臉圖像，以類間散布矩陣為產生矩陣，通過k - l變換降維並結合奇異值分解來提取人臉代數特徵。 -
( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors
（ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。 -
3 、 chinese words divided syncopation technology is the difficulty of the query technique based on phrase. some divided syncopation such as mechanical matching method, feature phrase library method, restriction matrix method, syntax analysis method and comprehended syncopation method are emphasized
對其中的幾種方法，如機械匹配法（即mm法） 、特徵詞庫法、約束矩陣法、語法分析法和理解切分法等做了詳細的比較和分析，並歸納出各自特點。 -
Using time - dependent mode matched scattering matrix method and based on the theory of the interaction between atom and electromagnetic field, we predict the effect that the longitudinal transport of electron is partly blocked by the lateral emitting electromagnetic wave and give detail analysis of the mechanism and the feature of the effect
第三章我們以光和原子相互作用理論為基礎，用含時模式匹配散射矩陣方法研究了直量子線在太赫茲電磁場部分輻照下的電子輸運性質，並得出橫向電磁輻射對電子縱向運動的阻塞效應。 -
William s - y. wang has discussed in his paper the mathematical basis of the tree model popular in phylogenetic classification of languages and dialects and in biological sciences. his exposition on feature matrix to tree conversion is particularly enlightening
王士元在他的文章中討論了在方言和語言演進研究以及生命科學里經常使用的樹模型數學基礎，並特別強調了矩陣到樹的轉換。 -
Pca & flda ), knowledge - based methods and neural - networks based methods, etc. in this thesis two novel classes of feature extraction methods are proposed, i. e. matrix - pattern - based and vector subpattern - based representation methods respectively
在本文中，我們在pca和flda方法的基礎上提出了兩類特徵提取新方法，即基於矩陣模式和基於子向量的特徵提取方法，並隨後用于模式的分類。 -
In this paper, inspired by the method of feature extraction directly based on matrix patterns and the advantage of mhks, we develop a new mhks classifier based on matrix patterns ( matmhks ). the method can mitigate the above shortcomings. we also make a further try of applying the algorithm proposed above to breast cancer detection
受到已有面向矩陣的特徵提取方法的啟發，本文將此方法引入到正則化h - k線性分類器的設計中，設計出面向矩陣模式的雙邊正則化h - k分類演算法matmhks ，克服了以上不足，並繼承了mhks演算法的優點。 -
( 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。 -
According to sparse feature of the matrix, we use gauss - sadel resolution method to solve such equations and use inner and outer iteration and multi - curent poles techniques to improve the quality of image of resistivity structures
根據反演方程系數的稀疏特徵，採用改進的降維高斯賽德爾迭代法來求解該反演方程，並通過內外迭代的結合，對大型稀疏欠定方程能很快收斂，得到可靠的解答。 -
The feature matrix may be formed based on the character sub - strokes, including the sub - stroke length, position and direction information and so on
由字元的子筆畫生成字元的特徵矩陣，特徵矩陣包含子筆畫的長度、位置、方向等信息。 -
A handwritten chinese character classifying algorithm is designed based on the character feature matrix with the excellent classifying effect
應用字元的特徵矩陣設計了一個手寫體漢字的分類識別演算法，取得了較好的效果。 -
First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors
我們首先根據採集的樣本圖像構造一個協方差矩陣，然後求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造出一個特徵空間，然後將輸入圖像向該特徵空間映射，將獲取的映射系數與樣本庫中圖像的映射系數進行距離計算，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。 -
In this dissertation, we use a feature matrix and a semantic relevance matrix which is established by long - term learning the log of the feedback offered by users, then optimize the semantic relevance matrix, and finally, combine the lower - feature matrix and semantic relevance matrix to retrieve images. this approach achieves the estimation of the similarity between
對于某些特殊情況，僅僅依靠修改特徵相似度不能起到很明顯的效果，由此本文引入了語義關系矩陣，先通過對反饋日誌的長期學習建立語義關系矩陣，之後再對語義關系矩陣進行優化，實現了同時被標注為負反饋的圖像之間相似度的估計。 -
First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every image in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors
然後，根據採集的樣本圖像構造一個協方差矩陣，求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造一個特徵空間，將輸入圖像向該特徵空間映射，計算獲取的映射系數與樣本庫中各類圖像的映射系數的歐基里德距離，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
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