視見變換 的英文怎麼說
中文拼音 [shìjiànbiànhuàn]
視見變換
英文
viewing transformation-
This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work
本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。From the experiment results, it indicates that, after the watermarked mpeg - 4 video suffer filtering, rotation, scaling and transcoding, the watermark possesses good imperceptibility and robustness
實驗表明，演算法在mpeg - 4水印視頻經過濾波、旋轉、尺度變化、代碼轉換編碼等處理后，水印在可見性和魯棒性等方面取得了良好的效果。Then we make a deep research on human visual system and wavelet transformation, and a new wavelet watermarking method based on hvs is proposed to solve the conflict between robustness and imperceptibility
在此基礎上，論文又將人眼視覺系統和小波變換結合在一起，提出了一種基於hvs的小波水印演算法，人眼視覺模型的應用緩解了演算法魯棒性和不可見性間的矛盾。At last a new image - adaptive waermarking scheme is brought forward, which takes full advatage of the good characters of wavelet bof orm and human visual system based on spread spectri theory and the algorithrn has good robusiness and capacity both the gray - l ev e l - im ag e - adapti ve watermarking system and c o lor - image watermarking system based on the image - adaptive watermarking scheme in the yuv color - mode space are implemented
在保證水印不可見和魯棒性的前提下，論文基於小波變換提出一種圖像自適應的數字水印方案。這種方案以圖像為水印，基於擴頻原理，充分利用小波變換的優良特點和人眼視覺特性，結合圖像自身特性，使嵌入的水印既有良好的魯棒性又有良好的容量。Aggregate, pivot, unpivot, and slowly changing dimension transformations, for common data warehousing tasks
聚合、透視、逆透視和漸變維度轉換，用於常見數據倉庫任務。In order to ensure the security and integrity of the authenticated user ' s fingerprint data transmitted via web and increasing the credibility of the automatic fingerprint identification system ( afis ), an adaptive embedding algorithm is introduced that can hide the fingerprint minutiae data in a synthetic fingerprint image
摘要為了保證指紋信息在網路上傳輸的安全性和完整性，基於小波變換多尺度分解原理以及人眼對頻率、紋理和對比度的視覺特性，提出新的臨界可見誤差模型。The block - based discrete cosine transform ( bdct ) suffers from visible blocking artifacts between adjacent image blocks at low bit rates, which reduces the image visual quality
摘要塊離散餘弦變換在低比特率時其恢復圖像的塊邊界上會出現明顯可見的方塊效應，從而降低了圖像的視覺質量。Abstract the block - based discrete cosine transform （ bdct ） suffers from visible blocking artifacts between adjacent image blocks at low bit rates, which reduces the image visual quality
摘要塊離散餘弦變換在低比特率時其恢復圖像的塊邊界上會出現明顯可見的方塊效應，從而降低了圖像的視覺質量。分享友人