本徵空間 的英文怎麼說

中文拼音 [běnzhǐkōngjiān]
本徵空間 英文
eigen space
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 徵 : 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...
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 空間 : space; enclosure; room; blank; interspace
  1. 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。
  2. In summary, on the base of analyzing the environmental factors and characteristic design method of public open space in housing community, this thesis proposes the over all design principles and the design method of characteristic spaces ; introduces the concept of site ; and further more, how to give both consideration to the natural factor and humane factor in the public open space planning in housing community, how to create a living environment of benign development using appropriate architectural codes, to achieve the coordinated development of people and the environment

    綜上所述，本文在總結社區組團中外部公共空間環境設計特質的基礎上，通過分析其環境的影響因素，論述了整體設計原則及特徵空間的設計方法，引入了場所的意向；並進而探討在社區組團外部公共空間環境的規劃設計中如何兼顧自然因素與人文因素的雙重作用，運用恰當的建築語言創造出可以良性發展的居住環境，以實現人與環境的協調發展。
  3. The contents of the five chapters are : chapter one, the recognition of public open space in housing community in terms of development ; chapter two, the influencing factors and basic principles of the design of it ; chapter three, the design method of characteristic space ; chapter four, the discussion in terms of place concept ; the last one, the conclusion and prospect

    具體內容安排如下：第一章從發展的角度重新認識社區組團外部公共空間環境；第二章分析其設計的影響因素與基本原則；第三章論述了特徵空間設計方法；第四章從場所意向的角度進行了探討；最後是結語與展望。
  4. In lecture notes in computer science 1451, amin a, dori d, pudil p, freeman h eds.,

    例如本徵特徵技術為不同的人臉特徵，如眼睛鼻子等構建多本徵空間。
  5. Assume the signature feature spaces have the similar distributions for all users

    本文假設各用戶的簽名特徵空間具有一定相似性。
  6. In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model

    在人臉跟蹤領域，本文對比了當前幾種主要的相似度匹配方法，採用了一種基於特徵空間模型的人臉跟蹤方法。
  7. Pattern recognition problems of large scale ( prpls ) refer to those with a feature space of high dimensionality and a data set with large amount of samples that belong to many different classes

    大規模模式識別問題特指一類特定的模式識別問題。該類問題的特點是，特徵空間維數高，樣本數量大而且所涉及的類別數目多。
  8. We provided a new method that tried to transform the whole image to featured space and facilitated identification and self - elimination of disturbance according to the hue and luminosity features of eyes of human being. we gave the definition and description of the transformed space. a wavelet - texture filter was designed to distill space - transform - based feature of the image itself was executed

    根據人眼對顏色、亮度等不同的敏感性以及圖像本身的性質，仿人眼變換域分析圖像形成光學濾色鏡效果，減少復雜背景顏色和相似形狀的多重干擾，並以此定義和表徵變換域特徵空間，給出變換域小波紋理車牌特徵，成功提取車牌字元區域； 2
  9. In this thesis, on the basis of giving a tutorial introduction to this topic, we present new visual mapping models which combine the robot work space with the image feature space tightly and new visual tracking controllers based on artificial neural network

    本文在總結了目前機器人視覺伺服系統發展狀況的基礎上，通過構建新的非線性西安理工大學博士學位論文視覺映射模聽j將圖像特徵空間與機器人運動空間緊密地聯系起來，提出了基少人
  10. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  11. In chapter 2, basic concepts, the author firstly gives a definition and discrimination on the connotation, characteristic and spatial structure of the key concept - " tourism region ". secondly, he set forth the connotation, category and factors that affect spatial competition among tourism regions in a systematic way. and thirdly, from the angle of tourism balance between supply and demand, the author divides spatial competition among tourism regions into two types - " spatial deformation " and " spatial shield ", and proposes structural pattern of factors that affect spatial competition among tourism regions

    第二章基本概念部分，對核心概念旅遊區域的內涵、特徵、空間結構等進行了界定；對旅遊區域空間競爭的內涵、類型及其影響因素進行了系統闡述，並從旅遊供需平衡的角度，把旅遊區域的空間競爭分為「空間變形」與「空間屏蔽」兩種類型，提出了旅遊區域空間競爭的影響因素結構圖式。
  12. Applying the principle and research method of cultural anthropology, this paper analyzes natural and cultural background, settlemental model, prototype of architecture, character of prototype, identity of space through the hakka house of huang family in kengzi town as a sample which is typical of hakka local - style dwelling. then concludes that relations between settlemental model and social organization of the huang family and indicates that the surrounding house - form is typical not only as a unique dwelling form, but also embodies their social formation of " living in compact communities " of hakka architecture

    本論文以坑梓鎮黃氏宗族客家住屋這一客家民居為研究對象，應用文化人類學的基本理論和研究方法，通過分析其自然文化背景、聚落形態、建築型制、類型特徵、空間特性等因素，指出黃氏宗族聚落形態和社會組織間的關系，並表明其住屋典型類型? ?圍屋，不但在居住模式上表現出獨特的個性，還體現了客家建築「聚居」的社會形態內涵。
  13. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
  14. Examples of the absoluteness include the principle of invariance for velocity of light, the principle of special relativity, the principle of general relativity, eigenlength, eigentime, minkowski four dimensional space - time

    在教學中常常強調其中的」相對」 ，而忽視了相對論中還有「絕對」的一面，如光速不變原理、狹義相對性原理、廣義相對性原理、本徵長度、本徵時間、閔可夫斯基四維時空等都具有絕對性。
  15. 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。
  16. Fisher rule is used then to find the best line that suitable for classification, according to which the sample data is projected from a high - dimensional space to a low - dimensional space

    該方法利用fisher判別準則，找到一條最好和最易分類的投影直線，並將樣本數據由高維的圖像空間投影到低維的特徵空間。
  17. 12 moghaddam b. principal manifolds and probabilistic subspaces for visual recognition. ieee trans

    大致來講，目前的多本徵空間方法可以分成兩類。
  18. The 2nd ieee international workshop on applications of computer vision, sarasota, fl, 1994, pp. 138 - 142

    在seir框架下提出了一種基於多本徵空間的實現演算法seme 。
  19. Technical report car - tr - 914. center for automation research, university of maryland, 1999. 14 ho t k. nearest neighbors in random subspaces

    還有一些方法能夠自動將圖像分成不同的組，然後在這些分組圖像的基礎上自動構建多本徵空間。
  20. 11 moghaddam b, wahid w, pentland a. beyond eigenfaces : probabilistic matching for face recognition. in proc. the ieee international conference on automatic face and gesture recognition, nara, japan, 1998, pp. 30 - 35

    由於多本徵空間multiple eigenspaces比單一的本徵空間具有更強的描述能力，因此近年來在人臉識別的相關研究中受到了廣泛關注。
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