smoothing algorithm 中文意思是什麼

smoothing algorithm 解釋
平滑演算法
  1. A smoothing approximation algorithm for nonlinear complementar ity problems

    求解非線性互補問題的一個光滑逼近演算法
  2. In computation of swept volume approximation, an improved technique to generate the swept volume approximation for arbitrary meshes is presented by introducing generator simplification and path resample using frenet moving frames along the discreted sweeping trajectory. other steps, such as a directed distance field computation on a uniform grid based on the hardware accelerated computation technique and iso - surface extraction using marching cubes algorithm, are also included in this algorithm. in addition, the simplification scheme and smoothing technique are applied to the swept volume generated from iso - surface extraction

    本文的主要貢獻在於：在掃描體逼近計算方面，在原有任意多邊形網格模型沿任意路徑運動生成掃描體逼近演算法的基礎上，提出了加入對掃描母體簡化的預處理和用活動標架對掃描路徑進行重采樣等過程，演算法的其它過程還包括：計算掃描體中幾何基元的排列，用硬體加速構造無符號的有向距離場，將無符號距離場轉化為有符號距離場，從有符號有向距離場提取等值面等。
  3. Then, a new regularized conjugate - gradient reconstruction algorithm was proposed for optical tomograpy, in which the ill - posedness of the reconstruction problem and as a result the quality of the reconstructed image are improved by introducing two regularization terms of image entropy and the local smoothing function

    其次，提出了一種正則化共軛梯度ot圖像重建演算法，通過引入圖像熵和局部平滑函數作為正則化項有效改善了重建問題中的病態特性，提高重建圖像的質量。最後，提出一種多解析度的ot圖像重建演算法。
  4. Genetic algorithm with fuzzy penalty function and its application in curve smoothing

    模糊罰函數遺傳演算法及其在曲線光順中的應用
  5. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  6. The algorithm distinguishes the face from background through performing smoothing, binary and edge detection on the original images. and then detect the sphere and possible location of face through integration projection, at last realizes the precise location of the face within the sphere

    本演算法對人臉做平滑、二值化、等預處理后，使人臉與背景部分分離開來，然後利用積分投影法預測人臉可能的范圍與位置，在限定的范圍內採用模板匹配的方法定位人臉，從而實現了快速、可靠的人臉定位。
  7. Spatial algorithm and frequency analysis of the thod of image smoothing process

    一種圖像平滑處理方法的空域演算法與頻域分析
  8. The simulation results show the proposed method can effectively filter the impulse noise and deduce the negative impact on image smoothing by the median filter. ( 2 ) for the feature extraction, an improved barnard - log feature extraction algorithm is proposed

    並通過模擬說明該演算法能夠比較好的濾除沖激噪聲和減小中值濾波對圖像引入的平滑效應; （ 2 ）針對特徵提取問題，採用與log特徵聯合操作的方法，改進barnard特徵提取演算法。
  9. The deducing of the algorithms has very practical value in state estimation for systems under the complex environments. in the instance of complicated multi - channel system with multiplicative noise, the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space. the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise, the dissertation broadens rajasekaran filtering algorithm

    本文針對復雜多通道帶乘性噪聲系統，應用新息的方法和hilbert空間的投影定理，對狀態最優濾波和平滑估計、隨機輸入信號的最優估計等理論與應用方面的問題，進行了進一步的探討，著重完成了以下工作：第一，根據復雜多通道乘性噪聲系統問題的實際需要，推廣了rajasekaran濾波演算法。
  10. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  11. The general convex smoothing problem solved by a semismooth newton algorithm

    用半光滑牛頓法求解一般的凸光順問題
  12. A mesh smoothing algorithm based on tangential direction

    基於切向的網格平滑演算法
  13. The method of this paper uses reasonable smoothing algorithm, and removes block - effect satisfactorily

    採用合理的平滑演算法，有效地消除了解碼圖像中的方塊效應。
  14. The relative frequency training ( rft ) method is used to estimate the model parameters. and the problem of the data sparseness is solved through the backing off data smoothing algorithm

    同時採用了回退式參數平滑演算法來解決了一階隱馬爾可夫模型的數據稀疏問題。
  15. 4. a new enhanced imm algorithm based on imm smoothing algorithm is presented. simulation results show that this new algorithm is superior to standard imm algorithm without time delay

    為了滿足有些實時性要求很強的系統的要求，提出了一種多步迭代的實時imm演算法，模擬表明利用該方法是可行的。
  16. Simulation results show that a significant improvement on the filtering algorithm is achieved by smoothing algorithms at the cost of a small time delay. the new smoothing algorithm proposed in this thesis is superior to other smoothing algorithms

    模擬結果表明本文所提出的新演算法的精度優于chen演算法，其一步滯后平滑精度與chen演算法兩步滯后平滑精度相當。
  17. Based on the combination of the adjacent diffusion method and the selective smoothing filter, a new anisotropic diffusion algorithm for image enlargement is proposed, which is called as the adjacent diffusion and selective smoothing algorithm ( adass )

    摘要提出了一種新型的各向異性擴散圖像放大的鄰域擴散選擇平滑法（ adass ） ，將鄰域擴散法與選擇平滑濾波器相結合，降低了演算法的復雜度，並提高了圖像的放大質量。
  18. 3 based on the filtering and smoothing algorithm, the optimal fixed interval deconvolution estimation algorithm is developed. 4 the algorithms are not only deduced theoretically but also tested through simulation. satisfactory simulation results are obtained, which validate the algorithms

    第四，除了理論上對所給出的最優演算法的推證之外，本文還進行了大量的模擬實驗，模擬結果驗證了各演算法的有效性。
  19. Firstly a qualitative criterion for determining the space between adjacent sections in the sampling process and gaussian smoothing algorithm is proposed. then a topological reconstruction method is given. at last a new reconstruction method based on the similarity between adjacent sections is proposed

    首先提出了確定斷層間距的定性方法和數據平滑處理的高斯方法，然後給出了一種拓撲重構方法，最後提出了一種基於相鄰層輪廓相似性的曲面重構新方法。
  20. The paper discusses how to design the chinese character and word code to meet the various input modes at first, then designs a dynamic self - study language model, and analyses the data smoothing algorithm in the language model

    文章首先討論了怎樣設計字詞碼本結構，使之能夠滿足靈活多樣的輸入方式，繼而設計了一種動態自學習語言模型，重點分析了數據平滑演算法在語言模型中的應用與改進，最後通過一個輸入法示常式序，對改進前後不同情況下的輸入效果進行了測試。
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