類空法向量 的英文怎麼說
中文拼音 [lèikōngfǎxiàngliáng]
類空法向量
英文
spacelike normal vector-
Now, simplified calculating methods of vertical frame and horizontal framed bent for plate structure are mostly used in this structure design. for the complex distribution of quality and rigidity of this structure, the calculating method of space turning coupled pair should be considered as a complemental checking calculation for this kind of irregular structure
該類結構設計目前大多採用縱向框架、橫向框排架的平面結構簡化計算方法，由於該類結構質量和剛度分佈復雜，對於此類不規則結構尚應採用考慮空間扭轉耦聯的計算方法進行補充驗算。8th joint symp. computational linguistics, nanjing, 2005, pp. 217 - 220. 54 wang j b, du c l, wang k z. study of automatic abstraction system based on natural language understanding
國內研究者探索了基於實例無指導學習方法互信息計算詞匯向量空間基於依存分析與貝葉斯分類模型結合等各種方法。Vector space model based on html document structure
基於向量空間模型的文檔聚類演算法研究A document searching system with vector space model
基於向量空間模型的貝葉斯文本分類方法Through the experiment, we test its feasibility. 3 、 to solve the insufficiency of the svm method, the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition, and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster
3 、針對支持向量機方法在自動獲取性能方面的不足，探索提出了基於相似度計算的動詞次范疇獲取演算法，並分別使用了兩種不同的句子相似度獲取演算法:向量空間模型和基於詞類串句子結構相似度獲取演算法，用於動詞次范疇類獲取。By taking advantages of epipolar line features and depth discontinuities in reference 中國科學院 軟件 研究所 博士 學位 論文 基于 圖 象 的 快速 繪制 技術 的 研究 images ， an efficient inverse wmping algorithm is pfoposed in chapter 3 for gcnerating nagcs of novel views by combining multiple eference images 帆 enhm different vie 呷 oints because continuous segnents determi 。 d by pairs ofedge pixels at co 。 spending epipolar lines are order kept ， only pairs of edge pixels in the reference 渝 明 e e necess 叨 口 cowute to obtain generalized disparity of all points in the desired image as a result ， sighficant acceleraion could be made in the endering pfo 比 鴕 two accelerating techiq 此 s e presented in this algori 山 mb accelerate the hole illing process his algorithm extends the reference images rom projection of single col ： ii ’ ected surface in previously developed nvnverse w 出 下 er to ima 驢 s captured rom complex scene in chapter 4 ， an 《 dent ibr method is prese 庇 仙 y takn ull 訕 antage of 呷 bies c 咖 the method can simulate the 3d details on sllri ： ace of object successfully he 。 叩 proach ， called rered ature mopmp consists of two pans at fst ， an origi 。 ltexture with orthogonal displacements per pixel is deco 啊 osed into a series of new t6 刀 mfcs with each 他 lug a given displacement per pixel ， called ae ， ea atures ， or lt hen hese lt e used to render the novel view by conventional texture mapping d avoid gaps n the endered hlla 驢 ， some phels are to be interpolated nd extended in the 廠 kaccoding to the depth differe eee between two neighbor pixels in the original texture as these ltlt fc … e much storage nd therefore much time is equired to install ltlt into the text ’ ufc buffec an 舊 thod is pfoposed to co 呷 fcss the ltlt ， nd the cottcspondingfclldering method is given experimental esults show that the new method is efficient ， especially n rendering those objects with a smaller depth rnge compared withtheir size ， such as relief surfaces of building
與己有的三維變換方法相比較，該方法不但成功地填補了由於投影區域擴張而產生的第一類空洞，而且成功地填補了由於空間深度非連續物體相互遮擋而產生的第二類空洞，從而方便地實現了虛擬環境中的漫遊；基於物體表面深度的連續性，本文提出了一個位移預測方法? ?此方法可以從單幅參考圖象獲得逆映射過程中所需要的目標圖象的位移信息，從而大大提高了演算法的效率：與通常的正向映射演算法相比，此演算法克服了多幅參考圖象所帶來的計算量成倍增長等問題，而且誤差較小。 2 ）基於極線幾何的快速逆映射演算法。利用參考圖象的邊界信息與隱含的遮擋關系，以及極線幾何的性質，本文第三章提出了一個基於極線幾何的快速3 『一中國科學院軟體研究所博士學位論文基於圖象的快速繪制技術的研究逆映射演算法，從多幅參考圖象精確合成當前視點目標圖象。Most current algorithms only work well in special conditions, because of the abnormity of signals in the real world. now, the research in the ica arises much passion and the ica has brought about many applications. the primary results the writer has got are as the following : after a whiting process, it is a key to find an orthogonal matrix to throw away the high - order redundant information between components
由於現實生活中信號十分不規則，目前提出的演算法大多隻能針對某類信號分離，鑒于目前在ica方面極大的研究熱情和強大的背景支持，作者對ica離線演算法做了一定研究，主要內容和工作包括如下: ica問題經過白化處理后，尋找去除高階相關的正交矩陣成為問題關鍵，而正交矩陣具有特殊的空間結構，組成它的每個列向量可視作rn中單位超球表面上一點，當這些點彼此垂直時，整體就組成一個正交矩陣。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。Reference to mpeg - 7 standards, mainly researches feature extracting schemes of video visual information. it includes histogram refinement in rgb color space, histogram in hsv color space, color coherence vectors algorithm and homogeneous texture descriptor extraction algorithm
論文中主要研究的視覺特徵提取方法有： rgb顏色空間的改進直方圖法、 hsv顏色空間的直方圖統計、顏色相關向量法和提取同類紋理描述符演算法。Then it presents the design of information push service based on agent by using artificial intelligence technique. a brief introduction of each function module in this system and their internal transaction sequence are followed. the detail design and implement of key parts in each module is also given, which includes setting up user interest model with vector space model, searching information by using word segmenting and searching engine, filtering information using sorting algorithm, ordering information using pagerank algorithm
本文首先分析了傳統的信息「拉取」方式存在的主要問題以及推送技術的產生;然後結合人工智慧領域的agent技術，提出了基於agent的信息推送服務的總體設計，並簡要闡述了各功能模塊的內部處理流程和思想;接著給出了各模塊的詳細設計與實現，主要包括:利用向量空間模型（ vectorspacemodel ）建立用戶興趣模型，通過分詞並與搜索引擎協作實現信息檢索，採用分類演算法對已檢索的信息進行過濾，用pagerank演算法對信息排序。From basic equations of elastic mechanics, related knowledge of fracture mechanics and frequent used methods of differential and integral calculus, bending fracture models of anisotropic functionally graded materials is established by assuming that material constants ( stiffness matrix component ) are expressed in arbitrary functions
根據彈性力學的基本方程以及斷裂力學的有關理論及微積分方法，將材料常數（剛度系數）設為空間變量的任意函數，建立了各向異性功能梯度材料板彎曲斷裂模型，即三類偏微分方程邊值問題。The data is nonlinearly mapped into high dimensional kernel space at first. then a set of feature vectors can be found such that the bhattacharyya distance of the classes mapped into lower dimensional feature space by feature vectors is maximized. thus the upper
該演算法採用核函數把樣本非線性映射到高維核空間，在核空間中尋找一組最優的特徵向量，把樣本線性映射到低維特徵空間，使類別之間的bhattach刪a距離最大，從而使特徵空間中樣本的baycs分類誤差上界最小。According to such an idea, we propose a new retrieval method that combines xpath and vector space model, named as the vector retrieval model based on xpath. secondly, we make full use of the hierarchical architecture of xml data, and analyze the structure of every document to construct a structure thesaurus, which is designed to navigate the user query and to eliminate the structural conflict
根據這一思想，作者提出了將xpath語言與傳統的向量空間模型相結合，實現基於簡單xpath路徑的向量檢索演算法來實現對xml文檔的檢索。充分利用xml文檔分類層次體系結構的特點，對于每篇xml文檔分析其文檔結構，並採用聚類學習演算法形成文檔結構類屬詞典，從而實現xml文檔查詢的導航機制和消除文檔結構的異構性。Through training the target and non - target samples, support vector machines method can set up an effective recognition model, which can detect all possible interested man - made targets through scanning all areas in images
通過對航空影像中的軍事目標和自然背景兩類樣本進行學習，支持向量機檢側方法建立了針對目標和非目標有效區分的識別模型，該模型能夠對航空影像中所有的區域進行快速的檢測和識別，檢側到所有感興趣的人造軍事目標。Different sections of image have different textures, and different laws features obtained from wavelet transformation form a feature space. the points in the feature space are clustered to form different regions according to k - mean value clustering method, and then the regions are mapped to original image space to get the result of image segmentation
利用圖象中不同的部分具有不同的紋理特徵，採用小波變換的多尺度特性以獲取多尺度、多方向上的紋理能量特徵組成特徵空間，利用k -均值聚類方法將特徵空間的點聚類成團，然後再將它們映射回原圖象空間得到圖象分割的結果。Support vector machines for spatial data classification
一種基於支持向量機的空間數據分類方法In view of the above mentioned problem, the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification. in accordance with the difficulty in medical image analysis ( for example, the background of microimage of section is complicated and is difficult to be segmented. ), the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model
本文針對上述問題，用計算機圖像處理及模式識別等信息技術對顯微細胞圖像的自動分析和分類的方法進行了研究，並針對醫學圖像分析中的難點（例如，顯微切片圖像背景復雜，分割困難） ，提出了基於歸一化彩色空間和rgb ， hsv彩色模型的兩類分割方法：利用模式識別技術中關于特徵向量空間聚類的方法實施真彩色分割。A widely used method for checking real - time systems is, according to the real - time property to be checked, to use a proper bi - simulation equivalence relation to convert the infinite - timed state space to a finite equivalence class space. the algorithm needs only to explore the finite space to get a correct answer. in most cases, exhaustive exploration is very difficult because the equivalence class space increases explosively when the scale of the system increases. in this paper, an equivalence relation is introduced to check whether a concurrent system, which is composed of a finite set of real - time automata, satisfies a linear duration property. to avoid exhaustive exploration, this paper also introduces a compatibility relation between timed states ( configurations ). based on these two relations, an algorithm is proposed to check whether a real - time automaton network satisfies a linear duration property. the cases study shows that under some conditions this algorithm has better efficiency than the tools in the literature
一個被廣泛用於驗證實時系統的方法是根據被驗證的實時性質，使用適當的雙向模擬等價關系使無限的狀態空間轉化為有限的狀態等價類空間.演算法只需要在這個有限的等價類空間里搜索就可以得到正確答案.但是，這個等價類空間的規模一般隨著系統規模的增大而產生爆炸性的增長，以至於在很多情況下，窮盡搜索這個空間是不現實的.該文引入了一個等價關系來驗證一個由多個實時自動機通過共享變量組成的並發系統是否滿足一個線性時段特性.同時，還引入了格局之間的兼容關系來避免對狀態等價類空間的窮盡搜索.基於這兩個關系，文章提出了一個演算法來驗證是否一個實時自動機網滿足一個線性時段特性.實例研究顯示，此演算法在某些情況下比其他一些工具有更好的時間和空間效率Second, using the method of wavelet - transform, extract the stable second - low frequency wavelet coefficient, build face database. third, for the sake of eliminating the correlations between entities of the image vector and extracting character - vector, which keeps the main class - information and can be used to rebuild original image, the principal component analysis ( pca ) was used
對人臉庫進行主成份分析，此方法根據人臉圖像整體的灰度相關性來提取特徵向量，所提取出的特徵向量保留了原圖像空間中的主要分類信息，並能在均方誤差最小的意義上重建原圖像。This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。分享友人