clustering detection 中文意思是什麼
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4. an object detection method with em ( expectation maximum ) algorithm of dynamic layer representations is researched and improved. previous algorithm contains optical flow computation, affined transformation, and clustering algorithm, and it is not convenient for detecting object quickly
4 .分析並改進了基於em （ expectationmaximum ）演算法的運動目標分層檢測演算法，早期演算法由於涉及光流場求解、仿射變換、聚類合併等復雜運算，計算量大，不適合圖像序列的快速處理。 -
Examples of clustering iris data and alerts in intrusion detection also proved the good performance of the ksom method
對iris數據集和入侵檢測報警數據的聚類也證明了核自組織映射聚類方法的良好性能。 -
A shot boundary detection method for news video based on rough sets and fuzzy clustering
基於粗糙集和模糊聚類的新聞視頻鏡頭邊界檢測方法 -
This dissertation discusses image segmentation technology based on the image visual features, the image neighborhood moment analysis and the related image detection and segmentation system. and the key functional modules ’ analyzed are as follows : the image neighborhood moment ’ s analysis, the adaptive clustering after the visual moment transformation, the boundary detection of the object image and the extraction of the object image area of similar visual brightness
本文討論了圖像視覺特徵鄰域矩分析和基於視覺特徵矩的檢測分割技術，並分析系統中的關鍵模塊:圖像鄰域分析，視覺特徵矩變換后的自適應聚類，目標圖像的邊緣檢測，視同灰度區域的視同灰度提取。 -
Furthermore we try to get a new approach by combining data clustering and outlier detection. discuss the sampling techniques frequently used in clustering and outlier detection
對聚類利異常檢測演算法中大量使用的采樣技術進行了討論，並提山了密度偏向的采樣技術。 -
( 3 ) based on hyper - graph clustering model, detection and description algorithm of a story unit is presented, and an algorithm frame for judging the type of story units is also proposed
（ 3 ）提出一種基於超圖聚類模型的故事單元的提取和描述演算法，並建立了判定故事單元類型的演算法框架。 -
First, we analysis the general theoretical model of video segmentation. secondly, based on the model, an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering. motion - changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image
論文首先討論了時差分視頻分割的一般理論模型，然後在建立的視頻分割模型的基礎上，從模糊熵聚類的角度出發提出了一種視頻運動變化區域自動檢測的方法，通過建立的模糊分類準則在差分圖像中對運動變化區域和相對噪聲區域進行劃分，從而得到運動變化區域。 -
The change detection based on the clustering of the imagery is proposed to achieve change detection of the large area targets. the steps of this change detection method are : registering the multi - date image pairs, clustering the image pairs respectively, finding differences of the clustered - image pair, marking the differences using the striking colors in the copies of the image pair
對于檢測大面積目標的變化，本文使用基於圖像聚類的變化檢測方法，實現步驟為：多時相圖像配準、分別聚類參考圖像和檢測圖像、尋找參考圖像和檢測圖像聚類結果中具有類別差異的像素、在原始圖像的副本中用醒目顏色標注變化部分。 -
A method of video shot boundary detection using unsupervised clustering
一種基於非監督聚類的視頻鏡頭邊界檢測演算法 -
After shot cutting and clustering, the thesis studies the approaches of detecting shots which contains the anchorperson and the methods of news story detection. based on these, a meaningful story and the hierarchical structure of the video content can be produced
本文在有效進行視頻鏡頭切分和聚類的基礎上，研究歸納了播音員鏡頭探測和新聞故事單元探測的一般方法，生成有意義的視頻故事，同時形成了樹形的視頻內容層次化結構。 -
Application of clustering architecture in intrusion detection for manet
基於興趣挖掘的純p2p搜索機制研究與實現 -
To optimize the security problem of manet, a cooperative intrusion detection mechanism was proposed based on clustering architecture. the cooperative and communicable measures between clusters were discussed, and then the algorithm for cluster formation w.
為了優化manet的安全性問題，將分簇機制應用到manet的入侵檢測中，設計了相關的分簇演算法，通信機制和協同檢測機制。 -
Finally, our system is analyzed and evaluated in a " syn flood " environment, and a method of applying clustering to anomaly detection is added to improve its performance
最後，本文對系統模型應用於網路拒絕服務攻擊環境的實例進行了分析，並提出了一種應用聚類分析對系統的改進方法。 -
The study of topic detection based on algorithm of division and multi - level clustering with multi - strategy optimization. journal of chinese information processing, 2006, 20 : 29 - 36
國內對統計機器翻譯的研究相對起步晚，但研究者具有濃厚的興趣，其中基於句法的統計翻譯實驗取得了很大進展。 -
In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing
為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。 -
Clone principle is led into evolutionary computing, and a hybrid algorithm is combining antibody clone strategy with fuzzy c - means clustering method is given. it is used in intrusion detection
提出將人工免疫與模糊c -均值聚類技術相結合進行聚類，從而實現對異常行為的檢測的演算法。 -
Finally, shot detection from compressed video, based on dc image and motion parameters, is analyzed in detail ; 3 ) a spatio - temporal shot similarity rule is proposed to cluster video shots into video scenes, and fuzzy - clustering method for key frame extraction from video scenes is also given
最後，詳細分析了基於dc圖像和運動參數的壓縮域鏡頭檢測方法； c ）提出了一種時-空融合的鏡頭相似性判斷規則，用於將鏡頭聚類為場景；同時，還給出了通過模糊聚類實現場景中關鍵幀自動提取的方法。 -
After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed
提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。 -
With has been corrected by the energy analysis. other way is the motion - changed region detection algorithm based on fuzzy entropy clustering in time - differenced image
第二種方法是基於時差分模糊熵聚類的運動變化區域檢測演算法。 -
To the noise, singular point, non - face area and the division of face area, this dissertation proposes filter, segmentation by clustering and area combination methods respectively ; to the detection of oriental faces in color images and complex context, the author combines the skin - color model based face rough detection and the ellipse based face location methods to one, then verify the candidate face by abstracting face features. experiment indicates that this algorithm is feasible and highly efficient
針對類膚色區域中的噪聲、奇點、非人臉區域以及人臉區域被割離的情況，本文提出了濾波、聚類分割、區域合併等演算法；針對人臉非人臉區域的的分割，修改並採取了橢圓模板定位的方法；針對「候選人臉」中出現的「虛警」問題，首先提取人臉面部特徵，然後採取人臉驗證演算法加以驗證。
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