binary feature 中文意思是什麼
binary feature
解釋
二分特徵-
Complementary sequences are the most representative perfect signals that have good aperiodic correlation feature. the binary complementary sequences were introduced in 1949
具有良好非循環相關特性的最佳信號的序列中，互補序列最具有代表性。 -
( 2 ) the key to improve the processing time is the multi - scale feature used to accelerate the binary - process. ( 3 ) apery intelligent character cognitron has been given based on the varied - grid feature vector and multiplayer and multi - mode of cognition psychoanalysis
（ 2 ）識別實時性改進的關鍵是提高二值化處理速度，主要利用小波多尺度特性變閾值的全局搜索為局部定位，提出一種改進的二值化方法。 -
In this thesis, founding on the study of the feature of the communication system in maglev train, the design principia of the communication system in maglev train is brought forward. after understanding the feature of the communication system and the induction signal in maglev train, the advantage and disadvantage of several binary modulating and demodulating methods is studied. then, two communication system based on parallel cable and crossed induction coils is put forward
本文分析了磁浮列車通信系統的特點，提出了設計磁浮列車通信系統需要遵循的原則，針對磁浮列車通信系統和感應信號的特點，對比了多種二進制調制解調方式的特點和優點，提出了基於平行電纜和交叉回線的兩種無線感應通信系統。 -
The unique heat radiation of infrared image is generated from subcomponents. this paper analyses the natural feature of infrared image and the relationship between the shape and orientation with eigen vectors, gives the measure to classify infrared image based on object position to improve ability of compatibility in object recognition, moreover, applies the independent component for sub - region segmentation to construct new infrared image eigen vectors. the image features are processed by a support vector machine, and transform the binary svm to multi - object classifier
文中在傳統紅外熱圖像特徵量的基礎之上，通過分析紅外熱圖像自身特性以及它的形成與其自身姿態的關系，提出了對目標物體紅外熱圖像基於目標姿態的子分類，來提高目標識別中對姿態的容忍度；同時根據紅外目標子部件對圖像影響的統計獨立性，使用獨立元的方法對目標紅外熱圖像進行了子區域分割，形成了新的紅外圖像特徵量。 -
While in the feature extraction, four ways are researched such as the means of encode of iris texture, the improved algorithm based on daugman ' s, the approach of identification by means of the fourier spectra of the transmission binary model of the human irises and the method of iris identification using wavelet transform. the advantages and disadvantages of these ways are compared. improved algorithm based on wavelet transform is proposed and proves feasible
虹膜定位中既分析了前人的一些演算法，指出演算法中的不足，又結合數學形態學和hough變換等理論提出兩種新的虹膜定位方法；虹膜特徵提取演算法中，研究了daugman對虹膜紋理的粗量化和編碼，康浩等在daugman基礎上的改進演算法， muron等人的利用虹膜二元模型的傅立葉光譜分佈特徵進行識別以及boles的基於小波變換的虹膜識別演算法等，比較出各個演算法的優缺點，並且在boles的研究基礎上進行了改進，經實驗證明該方法可行。 -
In the light of the method of top - down, the author put forward the concept of product function structure tree, which was used to express the product ' s function structure during the conceptual design. based on it, the product structure was expressedthe paper studies the definition of the function model which supports the method of top - down design, and the expression of function model based on binary - tree was also put forward in the thesis. for the abstract description of parts in the assembly level and the integration with other systems during the whole life circle of the products, the concept of assembly model was presented, the definiton, classfication and expresstion method of assembly feature was studied in this thesis. the representation of assembly relationship and data structure of the assembly model based on diagram was further studied. for the constraints transfer between function model and assembly model, an hierarchical component model is presented. an arithmetic of the change of assembly relationship when assembly model changing was also studied. fmally, a system named fb - tpms, which using object oriented programming technology and pro / toolkit, was developed
為了支持在裝配層次上的零件的抽象建模，提出了骨架模型的概念，並討論了裝配模型的建立方法。根據前述裝配模型有關研究，探討了從功能模型到裝配模型以及從上一級裝配模型到下一級裝配模型的數據和約束傳遞問題，並用層次化單元裝配模型得以解決，同時提出了裝配模型變動時引起的裝配關系的變化的有關演算法。在論文的最後部分用用面向對象的程序設計方法，結合課題要求，研究了支持自頂向下設計方法的裝配建模系統fb - tpms 。 -
Then the gray image is transformed into a binary image through a one - by - one - point section - threshold binary algorithm. after that, a postprocessing is implemented on the given binary image. in the part of thinning algorithm, an improved thinning algorithm derived from the opta is introduced in, for the purpose of producing high quality skeleton of fingerprints, on which the more accurate fingerprint feature location and type are based
採用離散方向法來求取指紋的點方向圖，進而用直方圖法結合動態分塊得到指紋的塊方向圖；再對指紋圖像進行方向法濾波；然後使用逐點局部閾值法，對指紋圖像進行二值化處理；二值化后對二值圖進行后處理；細化演算法採用基於opta的改進細化演算法，可以獲得高質量的指紋骨架。 -
The binary fat tree is a network topology which is prone to accomplish butterfly computing. according to this feature, a logical model for binary fat tree was constructed at first, and then a parallel fast fourier transform algorithm based on it was devel.
二叉胖樹網路結構是一種易於實現蝶式計算的網路拓撲結構，基於這一特點，首先構造了一種二叉胖樹的邏輯模型，並提出了一種基於該模型的并行快速傅立葉變換演算法。 -
The light spot image thresholding part of the suite puts forward the iterative algorithm to gain the best threshold by comparing, which could perfectly hold the original image feature. in the extracting the light spot image features part, the algorithms on calculating the coordinates of the " energy distribution barycenter " in the 256 gray levels image and the " geometric - center " in the binary image are adopted respectively and so on
如在對光斑圖像進行二值化的過程中，通過比較發現使用迭代法求出最佳閾值的演算法能夠較好的保留原圖像的特徵。在對光斑圖像進行特徵提取的過程中，分別採用了對256級灰度的光斑圖像求其「能量分佈的重心」坐標；對光斑的二值化圖像求其「形心」坐標等演算法。 -
The binary switch files only contain a zero or a one for that particular kernel feature
二進制開關文件只包含代表特定內核功能的0 （關）或1 （開） 。 -
The algorithm combines the concept of binary feature coding and mapping with the concept of brightness comparisoa because the feature is encoded under a relatively small scale, the algorithm needs oriented template and local feature distinguishment
由於特徵編碼映射是在一個較小的尺度下進行的，因此演算法還需利用方向模板以及角特徵確認過程對初始定位結果進地進一步擴展尺度的特徵區分。 -
After thinking about the binary feature of our country ’ s economy structure, the obvious finance control of the rural area, and the department difference, the author chooses the industrial department that has a close relation with the finance industry as the research breach
考慮到我國經濟結構的二元特徵和農村明顯的金融抑制以及部門差異等特點，筆者選擇同金融系統緊密相關的工業部門作為突破口進行研究。 -
( 1 ) hsmbk, it uses the bisect partition principle and adopts a new method to count the comparability - - " binary feature sparse otherness ". we apply the thought of choosing excellent element to the method of calculating the center of clustering for reducing the effect of the isolated points. at last, we bring forward jw rule based on the enlighten idea
（ 1 ） hsmbk演算法，利用了對稱劃分原理；採用了一種新的計算相似性方法- -布爾特徵稀疏差異度；將選優思想應用到聚簇中心的計算，形成一種新的中心計算方法，減少了孤立點的影響；採用啟發式思想提出了jw準則，為k值的選擇提供依據。 -
The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。 -
As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. while extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes : binary, sharpen, smooth, projection, calculating gradient and so on. in order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, k - l transformation
首先根據人臉圖像二值化圖中頭發塊的輪廓，確定出人臉的一次輪廓；然後在人臉的一次輪廓中以黑塊分析與投影分析相結合的方法定位出人眼，黑塊分析基於圖像的二值特徵以及人眼的幾何特徵，投影分析則基於圖像的灰度特徵進行，它對黑塊分析的結果進行補充；根據定位出人眼信息，取出人臉的二次輪廓；對人臉的二次輪廓進行標準化，獲取人臉的標準圖像。 -
The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms, codebook generation algorithms based on kohonen self - organizing feature map neural network, a fast codeword searching algorithm using l2 - norm pyramid data structure, side - match vector quantization algorithms, and a fuzzy classified vector quantization algorithm, systematicly explores their application to image compression, computer simulation results show that they are practical and efficient
文中重點分析了二元分裂梯度與閾值初始碼書生成演算法、基於kohonen自組織特徵映射神經網路的碼書生成演算法、基於l2范數金字塔數據結構的快速碼字搜索演算法、邊緣匹配矢量量化演算法、模糊分類矢量量化演算法，系統地研究了它們在圖像壓縮編碼中的應用，並進行了計算機模擬，實驗結果表明這些演算法是實際有效的。
分享友人