特徵矢量 的英文怎麼說

中文拼音 [zhǐshǐliáng]
特徵矢量 英文
proper vector
  • : Ⅰ形容詞(特殊; 超出一般) particular; special; exceptional; unusual Ⅱ副詞1 (特別) especially; v...
  • : 名詞[音樂] (古代五音之一 相當于簡譜的「5」) a note of the ancient chinese five tone scale corre...
  • : Ⅰ名詞1. (箭) arrow 2. (尿) excrement; dung; feces 3. (姓氏) a surname Ⅱ動詞(發誓) vow; swear
  • : 量動1. (度量) measure 2. (估量) estimate; size up
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面,由於化技術可以有效地提取說話人的個性化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有,因而化碼本可作為說話人有效的識別模型,而模型建立的關鍵問題是獲得高質的碼本。
  2. The method that how to adjust the consumption coefficients according to the final demand structure is researched ; in order to make the right positive characteristic vector of the new consumption coefficient matrix is just the final demand structure

    摘要研究了如何根據最終需求的結構來調整原有的消耗系數,使得調整后的消耗系數矩陣的右正特徵矢量是最終需求結構。
  3. The system firstly learns the domain training samples by using thesaurus to process word - separation and word - frequency statistics. according to word - frequency distribution, it chooses the feature collection and their weights to formulate feature vector and generate domain model and user model

    系統首先對領域訓練樣本進行學習,利用領域詞典對訓練文本進行詞條切分和詞頻統計,並根據詞頻分佈,提取代表採集目標的項集和相應的權重,生成特徵矢量,形成初始領域模型和用戶模型。
  4. Abstract : an improved inverse power method for calculating the eigenpair of a structure is presented based on the combination of the inverse power method and topological variation method of structures

    文摘:將逆迭代法與結構拓撲變化法結合起來,給出了一個用於求解結構值及特徵矢量的改進的逆迭代法。
  5. The input and output state vectors are defined, which are a 6 1 column vector including motion types, the magnitude and spatial orientation, respectively. the state matrices ( sms ) can be deduced by vectors operation, that is, the output state vectors multiplied by the input state vectors

    其中,前者按照輸入輸出端的不同運動類型、速度的大小及方向,以6維形式表示;而後者作為輸入、輸出特徵矢量之間的紐帶,描述了基本變換單元的功能與
  6. Secondly, because the avility of expressing image semantic informations with the color feature is too limited, so a texture feature is presented, we discuss the mothed of extracting texture of image

    其次,考慮到單純顏色對圖像語義信息表示能力的不足,引入了對圖像的紋理屬性進行分析,討論紋理提取的各種演算法,確定提取圖像的紋理特徵矢量演算法。
  7. Face recognition based on the geometric feature face recognition based on the geometric feature expresses the human faces by vectors of geometric feature, and identifies the faces by the idea of clustering in pattern recognition

    基於幾何的人臉識別方法將人臉用幾何特徵矢量表示,利用模式識別中層次聚類的思想設計完成識別分類器。
  8. Face recognition based on the algebraic feature face recognition based on the algebraic feature expresses the human faces by vectors of feature too. but the vectors are algebraic feature ones. it is the projection of the human faces in the lower dimension sub - space of eigenface

    基於代數的人臉識別方法這類識別方法也是將人臉用特徵矢量表示,但採用的是代數特徵矢量:即人臉圖像在由「臉」張成的降維子空間上的投影。
  9. By projecting feature vector to every class subspace, the character can be determined to one class in accordance with the projecting length. this is the difference between subspace method and other statistic methods

    在分類決策時,將樣本特徵矢量向各類別子空間投影,由投影長度判別樣本歸屬,這也是子空間方法與其它統計模式識別方法的不同之處。
  10. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致,在訓練過程中,通過調用mci ( mcimultimediacontrolinterface )提供的函數從語音庫中的波形文件中讀取采樣數據,分幀計算出由12維線性預測系數和12維線性預測倒譜系數構成的特徵矢量,並按照聚類的方法進行訓練,得到后續語音識別時需要的模板,存放于模板庫中。
  11. For the good stability and validity of the fusion feature, they can be used to ir point target recognition

    實驗證明,這一融合特徵矢量具有良好的穩定性和魯棒性,同時該特徵矢量計算小,有利於工程實現。
  12. After extracting characteristic vector, unqualified glass container can be identified by using statistic pattern recognition method

    提取特徵矢量后,通過統計模式識別原理即可以分類識別。
  13. Underwater target recognition based on fractal feature vector

    基於分形特徵矢量的水下目標識別
  14. In essence it takes the decision profile and decision template as target ' s feature vector and template respectively, and adopts template matching method to target recognition

    該方法實質上是將目標的決策分布圖作為特徵矢量,將其和每類目標的決策模板進行匹配以實現融合識別。
  15. Back - propagation ( bp ) neural networks are used as classification models in various feature domains, and then outputs of these networks are combined by the d - s evidence theory to obtain a consensus classification re suit

    待辨識的6類手部動作肌電信號經各域變換,提取特徵矢量後由bp神經網路分類,根據d - s證據理論對各分類器分類結果進行證據累積,並得到最終分類結果。
  16. When this csi is in terms of channel covariance feedback, the transmit directions for achieving ergodic capacity correspond with the eigenvectors of the channel covariance matrix, while the optimal power distribution can not be solved in closed form

    當發射端具有通道協方差矩陣信息時,使得平均通道容達到最大的發射方向和通道狀態協方差反饋矩陣的特徵矢量相一致,而相應的發射天線上的最優功率分配則難以解析獲得。
  17. In view of the non stationary feature of the pressure difference fluctuation signal in the gas - liquid two phase flow, a flow pattern identification method was proposed based on the characteristic vector from the singular value of the matrix formed by the multi dimensional continuous wavelet transform values of the fluctuation signal

    摘要針對氣液兩相流壓差波動信號的非平穩,提出了以多尺度連續小波變換值矩陣的奇異值為特徵矢量的流型識別方法。
  18. As a result, the concept of state space for conceptual design of mechanical system is presented, which is new to the literature, based on the set of all state vectors. meanwhile, the properties of state vectors, which are vectors addition, constant multiplying, reversible driving, zero vectors, are discussed in state space. secondly, the dual - vector is introduced to descript the essential relation among the input and output characteristic vectors as well as sms

    按照狀態空間中對偶特徵矢量的運算規則,在已知系統的輸入輸出特徵矢量的情況下,通過數學推導求解,將形成的系統狀態變換矩陣分解為多個狀態變換矩陣的乘積,再通過各狀態變換矩陣到數據庫中尋找相應的基本變換單元集合,然後進行按序組合,進而從理論上獲得相應的方案設計可行解。
  19. An image segmentation method based on velocity feature vector for moving target extraction

    基於速度特徵矢量提取運動目標的圖像分割方法
  20. This paper discussed the feature vector extraction methed, the realization of baum _ welch algorithm and the principle of hmm method

    論文論述了特徵矢量的獲取, hmm的原理和baum _ welch演算法的實現方法。
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