object classification 中文意思是什麼

object classification 解釋
對角分類法
  • object : n 1 物，物體，物件。2 目標 （of; for）; 目的，宗旨。3 【哲學】對象，客體，客觀 （opp subject）; ...
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  1. 5. two criteria are put out in straw classification process. the first one is based on the proportion of length and width of object ' s bound box, and the second one is based on the circularity of object

    5針對秸稈物體的形狀特徵，提出用物體外包矩形的長寬比以及物體的圓形度二準則依次進行目標形狀判斷的方法。
  2. Centring on the reality of law, the article compares and researches the ancient civil law and the modem civil law of china from the existence of ancient civil law, the classification of object of reality, emphyteusis, lost object system, etc

    摘要本文以物權法為中心，從古代民法的有無、物權客體的分類、永佃權以及遺失物制度幾個方面與現代民法進行了比較研究。
  3. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  4. Object classification and subject definition of state ownership : a way of thinking of economic analysis

    我國物權立法所有權類型模式探析
  5. Object description: this may be simple classification or verbal description.

    物體描述：可能是簡單分類，或者是一般語言描述。
  6. A series of experiments show the effectiveness of the presented 3 - d object classification method

    大量的實驗結果證明了所提出的部件級三維物體分類方法的有效性。
  7. For classifying unknown 3 - d objects into a set of predetermined object classes, a part - level object classification method based on the improved interpretation tree is presented

    摘要為了實現對未知物體的分類，提出了一種基於改進解釋樹的部件級三維物體分類方法。
  8. Taking garden architectural colored drawing as the research object, the article starts with the basic characters of the colored drawing, summarizes the evolution, classification and structure of the colored drawing by the numbers, and analyzes the art accomplishment of the colored drawing on garden architecture on the basis of the above - mentioned, probes into the innovation and development of the colored drawing on garden architecture from different points of view such as structure, picture, color, theme, construction method, etc

    以園林建築彩畫為研究對象，從彩畫的基本特徵入手，對彩畫的沿革、分類及其結構進行了較為系統的總結，並在此基礎上對彩畫在園林建築上取得的藝術成就加以研究分析，從構圖、圖案、色彩、主題、施工方法等不同角度探究了彩畫在園林建築中的創新與發展。
  9. 3 ) k - mean clustering algorithm is used classification. the category is two, according to the object and the experience knowledge

    3 ）應用無監督分類演算法中k均值（ k - means ）聚類演算法對輸入特徵向量進行分類。
  10. The scholars of criminal law in china accepted the crime constitution theory of ussr and tried to adjust it to the changing society. lots of scholars have done deep researches, and put forward many challenging views. among those arguments, violated object of crime has brought heated discussion, whose concept, classification, status and function are especially in much disput, which is harm to realize its great function in practice. the author tries to find how it came into being, concentrate on the key problems and justify its significance and function in the theoretical system about criminal law

    幾十年來，我國刑法學者對犯罪構成理論深入研究，逐步接受並完善了蘇式體系犯罪構成「四要件說」 。然而隨著對問題討論的不斷深入，不少學者對通說提出了各種質疑和挑戰，而犯罪客體則為爭論的熱點之一。犯罪客體在理論上的極大分歧不利於其應有功能的實現，因此筆者期求通過梳理犯罪客體理論的來龍去脈，發現問題爭執的焦點，重現犯罪客體的應有地位和機能。
  11. Traditional clustering analysis sorts of mechanical classification, which strict partition every identification object to a class. that has a character of exclude each other, and so the boundary is clearly

    傳統的聚類分析是一種硬劃分，它把每個待辨識的對象嚴格地劃分到某個類中，具有非此即彼的性質，因此這種分類的類別界限是分明的。
  12. These parameters are closely related to the materials detection, target detection, object classification and velocity measurement in nondestructive evaluation

    這些參數對于超聲無損檢測中材料檢測、目標探測、目標分類、及速率測量等密切相關。
  13. As the core technology in the intelligence surveillance, moving objects analysis based on video consists of the moving objects detection and retrieval, the object classification, incident detection, action identification and analysis, and so on, the detection and retrieval of moving objects is the foundation and key of it

    運動物體視覺分析作為智能監控中的一項核心技術，它包括運動物體檢測與提取、物體分類、事件檢測、行為識別和分析等，而運動物體檢測與提取又是其中的基礎和關鍵。
  14. Object classification mainly used for activity understanding in scene

    目標分類研究主要應用於場景中的行為理解。
  15. 3. some means which improve the performance of object classification are discussed

    3 .研究了提高目標分類性能的一些方法。
  16. Therefore studying multi - class nonlinear object classification is significant for the development of automatic video comprehension

    解決多目標非線性分類問題，對于自動視頻理解技術的發展有重要意義。
  17. Then a new method for object classification based on multi - feature is proposed, in this method basic probability assignment and combination rule is resolved

    然後提中文摘要出了一種基於多特徵的目標識別方法，其中包括初始概率賦值的確定方法和一種新的合成規則。
  18. Multi - class svm classifier based on small sample is built. labeled samples are used to train the classifier. the problem of multi - class non - linear object classification can be solved better

    2 .構建了基於小樣本學習理論的多類支持向量機分類器，用已標記樣本對分類器進行訓練，較好地解決了多類別非線性目標分類問題。
  19. The advanced user interfaces will involve widely and include the fields such as motion detection, object classification, people ’ s tracking, gait recognition, voice recognition and behavior understanding

    基於視覺的高級用戶介面所涉及的研究領域非常廣泛，包括運動檢測、目標分類、人的跟蹤、語音識別、步態識別等等以及行為理解等。
  20. This paper ' s method gives a new approach that groups the pixels by larger - scale neighborhood and gets the parameters of the neighborhood by k - l transform. these parameters marked as x, y, a, 0, specifying the center coordinate, length and direction of the neighborhood separately, are the basic data for following process. then some traditional algorithms of edge track and object classification are used to accomplish the task of gaining last objects

    該方法的新穎之處在於不直接用象素點作為處理單元，而是引入了一個鄰域替代的概念，就是說將鄰域內所有的數據點作為一個整體的處理單元看待，利用鄰域內的所有數據點，計算一些可以表示鄰域的參數x ， y ， ， （鄰域的位置、方向、長度） ，這些參數完全根據鄰域內數據點的位置信息獲得。
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