本徵向量 的英文怎麼說
中文拼音 [běnzhǐxiàngliáng]
本徵向量
英文
eigenvalue, eigenvector and eigenspace-
In this paper, we discuss some bicyclic mixed graphs which have few vertices on the bicycles, and find the eigenvectors corresponding to their smallest eigenvalues have similar structure properties to those of uncyclic mixed graphs
對于非奇異雙圈混合圖,本文對雙圈點數較少的若干圖進行討論,發現其最小特徵值所對應的特徵向量與單圈混合圖的情形有類似的結構性質。Firstly, it introduced the import principium resolving thread and steps of analytic hierarchy process. secondly, it erected model of population modernization, which based on the steps of analytic hierarchy process. lastly, it got the maximal eigenvalue of dissymmetric matrix and corresponding eigenvector with sas, and normalized the eigenvector to get weight value
本章分為兩部分,第一部介紹分析法的提出、原理以及解決問題的思路和步驟;第二部建立模型確定權重,根據層次分析法的原理和步驟,建立人口現代化指標體系的模型,運用sas求解所構造的非對稱判斷矩陣的最大特徵值,從而得出所對應的特徵向量,變形后得到權重。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。3. use characteristic vector quantity of normal situation with leak characteristic vector quantity of situation compare, adopting valve method determinant the leakage of pipelines
本文應用正常情況下的特徵向量與泄漏情況的特徵向量進行比較,並且採用閥值的方法判斷泄漏故障的發生。In the design of corpus, we carefully analyze the syllable distribution of corpus th - coss, then classify the prosodic characters of this corpus and present out the distribution of every prosodic character. based on prosodic character vector, we construct an error function which is used to select original corpus for simulation system, and show the distribution of prosodic characters for the original corpus. greedy algorithm and corpus self - adaptive process are expatiated to set theoretical foundation for text material search
在語料庫分析與設計方面,首先統計th - coss語料庫中音節分佈情況,給出th - coss語料庫韻律特徵分類,並對每一種韻律特徵進行統計,然後構造了一個基於韻律特徵向量的誤差函數,並採用該誤差函數提取語料組成模擬系統的初始語料庫,分析該庫的韻律特徵分佈,最後闡述了greedy演算法與語料自適應過程,為文本語料的搜索打下理論基礎。Second, we design a chinese text clustering model ctcm and research main aspects of ctcm such as feature presentation, feature extraction, the adjust of feature vector and clustering algorithm. third, we lay emphasis on the study of text clustering algorithm
然後,我們設計了一個中文文本聚類模型ctcm ( chinesetextclusteringmodel ) ,並針對模型中涉及到的特徵表示、特徵提取、特徵向量調整和聚類演算法等問題進行了研究。This paper makes a good study of the face recognition, including testifying the face from an image, partitioning main area of the face, abstracting the edge of the image, locating the characteristic points, recognizing the same face, etc. i have many new ideas in the study as follows : a method partitioning facial area from an image by 24 _ bit color is described
本論文對人臉識別技術的演算法作了全面的研究,包括對圖像進行人臉的檢測、區域分割、邊緣提取、去除噪聲和特徵點的定位、特徵向量的提取、識別等這幾個部分。提出了如下幾種實用和有效的演算法:在對當前多種人臉檢測方法的研究后,提出了一種利用膚色對面部圖像進行分割的方法。Based on different texture of the face and the inverse of leather, this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector
由於皮革正面和反面具有明顯不同的紋理特徵,本文用共生矩陣提取皮革正反面的紋理特徵,並根據提取的特徵向量採用分類器對皮革正反面進行自動識別和分類。Firstly, to perform pca or lda on basis of such high - dimensional image vectors is a time - consuming process. secondly, the high dimensionality usually leads to singularity of the within - class covariance matrix, which is a trouble for calculation of fisher optimal discriminant vectors
這樣就從根本上避免了在高維的圖像向量空間內構造散布矩陣並計算特徵向量的困難,大幅度地降低了特徵抽取過程所耗費的計算量。In the filtering sub - system using ontology - based profile, we introduce an approach to construct the user ’ s profile based on ontology. ontology provides a formal way to describe the semantics relations between the concepts by using the means of concept - properties model. two algorithms have been designed to calculate the semantic similarity between feature vector and the profile, which have been impoved according to the evaluated results
在基於本體模板的信息過濾子系統中,本文以本體的形式來描述用戶的需求模板,利用本體中的概念關系模型來體現概念間的語義關聯關系,並設計了兩種計算文本特徵向量與本體模板語義相似度的演算法,並根據實驗結果對這兩種演算法進行了改進。This feature perfectly combine the frequency in acoustics level and the temperament in music semantic level, we use the cosine distance of this feature to represent the similarity of two music clips, then we design a group of algorithms that is inspired from the thought of edit distance and dynamic programming. they segment the feature vectors into groups at first, then through group similarity match, group recurrent detect, merge recurrent group and structure label joined algorithms to complete the music structure label task. because this is a really new field of research and no good method of evaluation had been finding, we propose a new evaluation method and the results of the experiments show that it is a good method
然後設計了一組源於編輯距離和動態規劃思想的音樂結構分析演算法,首先將特徵向量分組,然後經過組相似匹配、組重現檢測、重現組歸並和自動標注四個前後銜接的環節實現了音樂結構的自動標注,較好地實現了將音頻形式的音樂自動標注為表示音樂結構的三元組列表形式,由於這是一個新的領域,目前還沒有比較好的量化評價方法,本文提出一種新的評價方法,並用它來評價結構分析的結果,取得了較好的效果。This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information
本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ,解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中,解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ,並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式,對疾病和證候的自動診斷進行了研究。This paper emphasizes on researching how to classify object based on feature vector having uncertainty
本論文則主要研究了如何根據具有不確定性的目標特徵向量來識別目標。It adopts the hierachical clustering in vocabulary vsm model because of its special function, on the other hand enriches the subcategory tagging information by rules, it can decrease me data sparse problem, and introduces the confidence intervals into the model for the selection of priority between statistics and rules
另外還對標注模型從兩方面作了優化,由於詞匯特徵向量的特殊作用,本文對特徵詞匯採用層次聚類來提高其分類精度;另一方面,引入規則來進一步豐富細分類標注信息,減少數據稀疏等問題,並且引入置信度來選擇統計與規則的優先關系。If a document is viewed as a combination of basis topics, and every basis topic is represented by a related vector, then it can be categorized as belonging to the topic represented by its principal vector. thus, nmf can be used to organize document collections into partitioned structures or clusters directly derived from the nonnegative factors
如果將一篇文檔看作是由許多文本主題組合而成,而文本主題與語義空間的特徵向量相對應的話,則我們可以直接根據nmf演算法所提取的特徵向量及相對于特徵向量各文檔的編碼向量將文本集劃分成不同的類。In feature extraction step, we apply homogeneity into text detection, and we compare using the gradient, edge extract and homogeneity mapping to enhance corners and texture features, and then use a slip window to get different kinds of texture features as the feature vector, and then after comparing the accuracy result of svm and bp neural network, we choose svm as the classifier
在特徵提取步驟中,本文把一致性h應用到文本區域提取領域,使用邊緣空間映射和一致性h空間映射兩種方法得到特徵圖像,並比較了兩種空間對于文本提取的影響;對得到特徵圖像,使用滑動窗口比較了提取不同維數的紋理特徵作為特徵向量的結果。Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive
與基於nmf演算法的文本聚類不同,我們的演算法力求以無監督的方式,在時間復雜度允許的范圍內,找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。" energy - fault recognition ", a fault diagnosis method based on wavelet packets analysis for the transport pipeline supervising system is proposed in this dissertation. eigenvector target is presented which reflect the characteristic of leakage pressure signal
本文將基於小波包分析的「能量?故障識別」故障診斷方法引入管道運行狀態監測技術,提出了反映泄漏壓力信號特性的特徵向量指標。We prove that 0 is the eigenvalue of the system ' s host operator, and finally we give the eigenvector of the eigenvalue 0
並證明了0是系統主運算元的本徵值,給出了0本徵值對應的本徵向量。Firstly, an eigenvector - fitting algorithm is used in contour lines color segmentation for extracting the color keys of map features ( include contour lines ) in order to reduce the phenomena of color - alias and color - misalignment
具體工作如下:第一,採用本徵向量擬合演算法提取各類地圖符號(包括等高線)樣本的顏色特徵,用以克服掃描彩色地形圖中的顏色混淆和假彩色現象。分享友人