特徵融合 的英文怎麼說

中文拼音 [tèzhǐrónggě]
特徵融合 英文
feature fusion
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 融 : Ⅰ動詞1 （融化） melt; thaw 2 （融合; 調和） blend; fuse; be in harmony Ⅱ形容詞[書面語]1 （長遠; ...
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 融合 : fuse; mix together; anastomosing; reconcile; harmonize; compromise; amalgamate; coalesce; coalesc...
  1. Recognition of palm - dorsa vein patterns using multiple feature fusion

    多特徵融合的手背血管識別演算法
  2. According to the fact that the basic features of apalmprint, including principal lines, wrinkles and ridges, havedifferent resolutions, in this paper we analyze palmprints using amulti - resolution method and define a novel palmprint feature, whichcalled wavelet energy feature, based on the wavelet transform. wef can reflect the wavelet energy distribution of the principal lines, wrinkles and ridges in different directions at different resolutions scales, thus it can efficiently characterize palmprints. this paperalso analyses the discriminabilities of each level wef and, according to these discriminabilities, chooses a suitable weight for each levelto compute the weighted city block distance for recognition. theexperimental results show that the order of the discriminabilities ofeach level wef, from strong to weak, is the 4th, 3rd, 5th, 2nd and 1stlevel

    作為對現有人體生物特徵識別技術的重要補充，掌紋識別有著其獨特的優點：掌紋比指紋含有更多的可區分信息掌紋採集設備的價格比虹膜採集設備的價格要低廉得多掌紋特徵比簽名特徵更為穩定掌紋識別可獲得比人臉識別更高的識別精度掌紋含有獨特的線特徵包括主線和皺褶，這些線特徵具有很強的區分能力，並可以在低解析度圖像中提取出來可以將手掌上的各種特徵融合在一起建立一個高精度的生物識別系統等。
  3. It also analyzes the history and the present situation of the shift in village in this part. in the fourth part, i establish employment elastic time series model to analyze the ability of absorbing labor. finally, some supporting stratagems are proposed to promote village surplus labor shift, to adjusts the employment structure and to optimize the industrial structure

    第三部分用特化系數考察江蘇各區域的勞動力分佈情況，並分析了江蘇農村剩餘勞動力轉移的歷史和現狀，以及存在的問題;第四部分建立就業彈性的時間序列模型，對非農產業的勞動力吸納能力進行定量分析，並對非農產業內部具體產業的勞動力吸納能力作了比較;最後，把區域空間結構發展模式與江蘇經濟發展的具體特徵融合到一起，提出轉移江蘇農村剩餘勞動力以調整就業結構，並促進產業結構結構優化和經濟協調發展的政策建議。
  4. Face recognition based on local feature fusion

    基於局部特徵融合的人臉識別
  5. Face recognition : an approach based on feature fusion and neural network

    一種基於特徵融合及神經網路的方法
  6. Infrared target recognition method based on invariant fuzzy feature fusion

    基於不變性模糊特徵融合的紅外目標識別方法
  7. New algorithm for image target recognition based on fractal feature fusion

    一種新的基於分形特徵融合的圖像目標識別演算法
  8. Target recognition of fuzzy multi - features fusion based on analytic hierarchy process

    基於層次分析模糊特徵融合的目標識別
  9. Based on multi - scale wavelet transform, a multi - feature fusion approach for automatically detecting man - made objects in areas of natural background is proposed

    摘要針對自然紋理背景，提出一種基於多尺度小波特徵融合的人造目標檢測方法。
  10. The new feature derived from the multiple features fusion benefits from the advantage of single feature to the pattern classifying, which is superior to each fused feature on terms of the classifying performance

    由多個特徵融合產生的新特徵吸收了單個特徵的對模式分類的優勢，使它對模式的分類性能優于參與融合的單個特徵。
  11. First, a new method of feature level fusion pattern recognition is presented. feature fusion coefficients are defined to fuse the features extracted from different view of multiple sensors. by evaluating different feature fusion coefficients to different features, we can get the fusion feature of the pattern to be observed

    首先，提出一種特徵層融合模式識別的方法，定義「特徵融合系數」對多傳感器視角觀察模式所得的不同特徵進行融合，通過對不同特徵賦以不同的特徵融合系數，將多特徵進行融合，得到待識別模式的融合特徵，從而實現特徵層融合。
  12. Based on analyzing deeply the basal principle and the system structure of the multi - sensors information fusion technology, and according to the model of feature level fusion, the achieving method of fire detection system based on simulated annealing feature level fusion is presented. this method that searches first - rank ‘ feature fusion coefficient ’ through simulated annealing arithmetic can improve the validity property and demote the mis - warning rate

    在深入討論了多傳感器信息融合技術的基本原理及體系結構的基礎上根據特徵層融合的模型提出了基於模擬退火的特徵層融合火災探測系統實現方法，使用模擬退火演算法搜索最佳的「特徵融合系數」 ，從而提高火災探測的正確性，降低誤報率。
  13. Experimental results on orl face database show the proposed impca and imlda are more effective and efficient than conventional pca and lda based methods such as eigenfaces and fisherfaces. finally, a strategy of feature parallel fusion is develope

    不僅如此，試驗結果還證實了所提出的基丁復線性投影分析的并行特徵融合方法優于傳統的串列特徵融合方法
  14. Finally, the precisions and recalls of single feature, multi - feature integration and relevance feedback are calculated and compared

    最後分別給出基於單一特徵，特徵融合和相關反饋方法的查準率和查全率，並對試驗結果進行分析。
  15. However, some of face recognition problems still require further development, this is the case for problems of recognition face images conveying changes in illumination, facial expression and changes due to the time delay between the acquistion of the reference and tested face images. our main work is to analysis methods of extraction face features and contraction of classifier. the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images, then combine those features as a new combined feature set, in order to reduce redundancy data, we apply clone algorithms to reduce data through rotation in input space

    我們改進了一種基於矩理論的識別方法，給出了計算公式和證明過程，可用於解決小規模人臉識別問題；我們將智能方法應用到人臉識別中，分別利用自組織特徵映射和次分量方法抽取人臉的整體特徵和局部特徵，依據特徵融合理論，重新組合為新的復合特徵，為壓縮特徵數據，我們首次引入克隆選擇演算法自動進行特徵優化選擇，最後，利用支持矢量機構造多分類器進行分類識別，在不同規模人臉識別庫上模擬結果表明，該系統自適應能力強，分類識別精度高，適用於大規模復雜人臉識別問題。
  16. Taking range - intensity images as example, the extraction of symbols by fusion of images of different sensing mechanism is studied

    以距離?可見光圖像為例，研究了不同物理傳感機理圖像的符號特徵融合提取方法。
  17. A face recognition based on fusion features extraction from two kinds of projection

    利用兩類投影方法進行特徵融合的人臉識別
  18. Fusion of local facial features and holistic facial features for facial expression recognition

    基於局部特徵和整體特徵融合的面部表情識別
  19. The profile of cop is fused from the profiles of its members, so the gaining of the user profiles is the base of cop modeling

    Cop的興趣特徵是由其成員用戶的興趣特徵融合而來，因此用戶興趣特徵的獲取是cop建模的基礎。
  20. Experimental results show that the recognition rate of the proposed classification strategy is higher than that of the single feature domain method, and the strategy is more efficient than the conventional structural neural network

    實驗結果表明，動作分類準確率高於傳統的單特徵集單分類器的分類方法，且訓練、分類效率高於結構化神經網路特徵融合方法。
分享友人
分享到 Line

分享到臉書