識別速率 的英文怎麼說

中文拼音 [zhìbiésùlǜ]
識別速率 英文
speed of recognition
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 速率 : speed; rate; tempo
  1. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  2. Experiments show that this method has high processing speed, low data quantity, great performance so, it ' s a good choice for large - capacity recognition applications. and it can work well even when the faces are acclivitous or with a little expression. as a research of obvious goal, we developed a prototype system named mandrill

    實驗證明，這種新的組合演算法具有速度快、特徵數據量小、識別率較高、適用於大數據量識別應用等特點，測試結果表明其在人臉有偏轉、有微量表情變化的情況下均具有較好的識別效果。
  3. However, the overabundance of old and new information, and rapid emergence of web - based search engines have generated a great amount of redundant search results and affected the efficiency and accuracy in terms of users " search efforts

    然而，新舊信息的交織和網路檢索工具的層出不窮，導致了用戶檢索出大量冗餘信息，也增加了用戶識別信息的負擔，更影響了用戶的信息查準率和檢索速度。
  4. Due to its low redundancy, recognition of the pitman shorthand requires higher performance of outline segmentation and strokes classification

    由於pitman速記的「低冗餘信息」的特點，對在線的分割和筆劃識別有高正確率的要求。
  5. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  6. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  7. The correctness is over 99 %. ( 5 ) shape features studied were aspect, first invariant central moment, elongatedness, roundness, circularity and thickness. aspect and first invariant central moment are the most effective shape features for identifying monocotyledonous weed from dicotyledonous weed, and the correctness was 93 %

    （ 4 ）利用修正的色度公式，由判別分析法確定色度閾值，對雜草圖像進行閾值分割，能夠有效地識別植物與非植物背景，正確識別率在99以上，但色度的計算量大於過綠特徵的計算量，不利於雜草識別速度的提高。
  8. The thesis describes the detailed procedures of hand - writing data processing, including chinese character dot matrix building and display, vector data storage, chinese character dot matrix compression, transfer protocol and hand - writing chinese character re - building. also, stroke order based hand - writing chinese character recognition method is explored, and characteristic - recognition methods for chinese character with similar stroke order codes and the structure of hand - writing chinese character recognition dictionary are discussed

    第四，設計了服務器端的服務軟體，可以實現數據的解碼、重建、筆劃特徵提取、識別、數據管理功能；採用了基於筆段筆順編碼和結構特徵的識別方法並設計了識別字典的結構，可以有效的提高識別速度，達到較高的識別率。
  9. With the system accomplished, the efficiency and the velocity of the pattern recognition will be increased and the various results produced by the system will be lesser than that produced by manual work

    該系統的建立，將為提高沉積相識別效率和加快識別速度做出貢獻，並將會減少人工識別沉積相帶來的歧義性。
  10. Taking the real - time recognition request into consideration, a bi - layer ahmm model ( bl - ahmm ) is introduced. bl - ahmm can reduce the recognition space by pre - categorization, which improves the speed and accuracy of recognition. like the other grads descend algorithms, the problem of local optima is also existed in the training of hmm

    為了進一步提高識別速度，滿足聯機識別中實時性的要求，本文在ahmm的基礎上同時提出了一種雙層自適應識別模型（ bl - ahmm ） ，通過預分類來減小識別空間，提高了系統識別速度並同時提高了識別率。
  11. The license plate automatic recognition systems of now - days still have some shortage : it is too expensive, the recognition speed is not fast enough, and the ratio of recognition is not high enough. after all, because the whole lpr system is based on pc software it is hard to protect the right of the lpr system

    目前的牌照識別系統不僅實現價格的比較高、機動性能差，還存在著識別速度慢，識別率和穩定性差的問題，而且，因為整個系統都是基於通用計算機地軟體，不利於軟體知識產權的保護。
  12. Some new ideas are proposed in this thesis based on svm and ica : firstly, a modified svm method based on posteriori probability theory is given, which makes the classification super plane corrected from the original one. a better classification result is obtained without finding the best quadric optimization algorithm and large scale training datasets are reduced to small scale training datasets at the same time. secondly, ica is applied to the preprocessing period of the recognition character images for purpose of feature extraction and dimension reduction

    本文在系統研究svm和ica的基礎上提出了以下新的觀點：其一是採用了引入后驗概率的修正svm方法，它在原分類超平面的基礎上不斷修正分類超平面，提高分類正確率，從而避免了尋找最優二次規劃的麻煩，同時將大規模訓練樣本集化為小規模訓練樣本集；其二是應用獨立分量分析ica對需要進行識別的字元圖像預處理，提取字元特徵，降低輸入數據的維數，從而可以為下一步的svm識別過程提供好的數據集，用以提高識別率和識別速度。
  13. A kind of mathematical model about the output signal of the millimeter wave radiometer sensor is established. through analyzing and abstracting the output signal, we devised the target template. after previous transaction, use the fuzzy theory to calculated the target recognition probability, including the low speed scan and the high speed scan

    建立了毫米波輻射計輸出信號波形的數學模型，通過波形特徵分析和提取，分別設計了高、低速掃描條件下的目標模板，提出了一套對目標信號進行預處理的方法，並運用模糊目標識別理淪，分別計算了高、低速掃描條件下的目標識別概率。
  14. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  15. This article uses the direction - based arithmetic to segment the fingerprint image. it ' s merits and demerits are discussed in this article. arithmetic that is based on the sum of fingerprint ' s grey level variety is used to refining the effective area of fingerprint image

    在指紋圖像的后處理部分，作者提出了特徵點可靠性分析的方法，根據課題實際應用的要求提出了用增加拒識率來提高指紋識別速度的指紋匹配演算法，在實際的應用中取得了較好的效果。
  16. Fully autonomous layered star identification algorithm, which divides the detected stars to lbs and lds, gives priority to lbs in making star triangle and identification, so can find the matching star quickly. it takes the maximum matching reliability and expanding index at the edge of na to reduce the influence of position error, magnitude error and fake star, so have high identification correct rate. it can be used for full and local sky star identification

    全天自主分層星識別演算法，採用分層的方法，以局域亮星為主構造和識別觀測星三角形，減少了待識別的觀測星三角形數量，具有較高的識別速度；採用最大匹配可信度和索引的邊緣擴充方法，可以在一定程度上解決位置誤差、星等誤差和偽星干擾等問題，具有較高的識別準確率；既可以進行全天自主星識別，又可以進行局部星識別。
  17. The study on query system using the basketball video fragments as an example is involved in such areas : first, in the condition of " video - flash " and " jump " phenomenon, the " two - level video segmentation algorithm " solves the mistaken detection of the shot edge ; second, the part or the whole video as the result of detection can be well played ; third, the text on the complex background can be detected and fixed, not only the speed but also the right proportion have been improved ; forth, the text can be divided into " regular detection " and " irregular detection "

    本課題以籃球比賽的視頻片斷為例，主要進行了以下幾個方面的研究： 1 ）針對視頻中的「閃動」和「急跳」現象，提出了「二級鏡頭分割演算法」 ，解決了鏡頭邊緣的誤識別問題。 2 ）對所檢測出的視頻片斷或整個視頻流進行播放。 3 ）基本解決了復雜背景下文字檢測與定位問題，提高了數字的識別速度與正確率。
  18. Face recognition system is friendly and has the currency device, but the recognizing rate is relatively low. the recognizing rate of fingerprint recognition is relatively high, but the device for catching the fingerprint image is special, and the working speed is slow especially for the big data - base

    人臉識別系統具有友好、設備通用的優點，但其識別率較低;指紋識別識別率較高，但圖像採集需要專用設備，而且指紋識別速度較慢，尤其是對于大型數據庫。
  19. In regard to the deformed character of the license plate and the varied illumination and strong noise disturbance conditions, this paper put forward a character recognition method based on the artificial neural network which has many merits, such as highly anti - interference quality, highly recognition rate

    針對車牌字元圖像的變形、非均勻光照、強噪聲干擾等條件，本文提出了一種基於神經網路感知機的字元識別方法，該方法具有網路結構簡單，識別速度快，抗干擾能力強，識別率高等諸多優點。
  20. We have done experiments for attaining adaptive recognition algorithm and proposed the scheme of correlation coefficient ( cc ) as the optimum recognition algorithm pattern recognition for volume holographic image - base built by both angular multiplexing technology holographic storage technology were implemented by using cc method

    基於該模板對相關峰進行定位，使用相關系數對採用角度復用技術建立起來的體全息圖像庫完成了識別工作。統計了識別準確率和識別速度。
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