neighborhood base 中文意思是什麼

neighborhood base 解釋
鄰域基
  • neighborhood : n 1 鄰近 接近；附近；周圍。2 四鄰 街坊；街道 地區；聚居區。3 近鄰的人們。4 鄰居關系 鄰人的情誼 和...
  • base : n 1 基底，基，根基，底座；底層，底子；（紀念碑等的）基址；（山）麓。2 【軍事】基地，根據地。3 根...
  1. It discusses the problems in transformation and causes leading to those problems on base of first - hand investigation materials. villages on the city fringe area differ from common villages far from cities, so planner and designer should consider the characters. the article provides means of planning and design by researching on the characters, change and direction of country settlements from three aspects : site, house and neighborhood

    本文以城鄉交接帶的區位特殊性：過渡性、混雜性、互動性、系統性為切入點，認識交接帶農村的特點；並從住宅、聚落兩方面探討其變化和發展的趨勢，指出當前設計方法中常見的誤區，提出規劃設計的具體方法和新思路。
  2. Using the repetition data from the leveling circuit, which is composed of the spots at the measurement field in the hefei deformation observatory and the base rock at the neighborhood of the measurement line, we estimate the degree of stability of each spot

    摘要以合肥形變臺短水準測量場地各基巖點與檢測線路端點（基巖）組成水準環線進行連測，利用重復觀測資料，估算各點穩定度。
  3. On the base of the analysis, we build up the vector fields of neighborhood variation ; put our emphasis on the description of the image edges and the domains of visual similar grey - level with the vector fields. after that, we find out the two methods used to detect the edges, the one with the biggest vector field, and the other with the perpendicular vector - pair of the biggest variation difference. the neighborhood size has got the great influence

    在此基礎上，提出了基於鄰域灰度變化矢量場的圖像分割思想;建立了圖像鄰域灰度變化矢量場，並重點分析了鄰域灰度變化矢量場與圖像視覺邊緣、區域等特徵之間的關系;建立了最大鄰域灰度變化矢量的邊緣檢測運算元模型，基於鄰域灰度變化矢量場最大正交差異對的邊緣檢測運算元及區域檢測運算元模型;分析了鄰域選擇對邊緣擴展、噪聲抑制的影響。
  4. In section 4. 2 we analyze its main idea and algorithm in detail, two relevant theorems included ; section 4. 3 provides plenty instances so to explain its nonlinear dimension reduction ability, section 4. 4 propose a combined method that integrates the advantage of various methods. in section 4. 5 we analyze some significant problems in lle, including the locality of manifold representation, the choice of the neighborhood, the intrinsic dimension estimation and the parametric representation of mapping. in section 4. 6 we design an algorithm for estimating the intrinsic dimension in the base of locally linear approximation and discuss the choice of its parameters

    第四章是本文的重點內容，研究一種全新的非線性降維方法? ?局部線性嵌入方法，對它的思想和演算法進行了詳細的分析，給出演算法兩個相關定理的證明；第三節對比主成分分析，通過實例說明局部線性嵌入方法的非線性降維特徵；第四節在此基礎上提出了旨在結合兩者優勢的組合降維方法；第五節提出了局部線性嵌入方法中存在的若干關鍵性問題，包括流形的局部性、鄰點的選擇、本徵維數的估計和降維映射的表示，第六節基於局部線性近似的思想提出了一種本徵維數的估計方法，設計了實用演算法，結合實例對演算法中參數的選取進行了討論；最後一節提出了一種基於局部線性重構的圖形分類和識別方法，將其應用於手寫體數字的圖像分類識別實驗，實驗得到的分類準確率達96 . 67 。
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