feature extraction classification 中文意思是什麼
feature extraction classification
解釋
特徵抽戎類- feature : n 1 形狀，外形；特色；（特指）好看的外表；〈pl 〉臉形；五官；面目，容貌，面貌，相貌。2 臉面的一部...
- extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
- classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
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In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis
本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。 -
Bispectrum based feature extraction and classification of radiation noises from underwater targets
基於雙譜的水下目標輻射噪聲的特徵提取與分類研究 -
This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described
利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。 -
Feature extraction and classification of ground penetrating radar echo signals
探地雷達回波信號的特徵提取和分類 -
In this thesis, the methods of feature extraction and classification frequently used in character recognition are demonstrated and the relationship between classification and integration is thoroughly analyzed. according to the basic idea of comprehensive integration, classification and integration methods are developed and a recognition system is established for typical character set
本文全面闡明了文字識別中的特徵提取和分類方法，對集成與分類之間的關系進行了深入的分析，然後根據綜合集成法的基本思想，針對典型的漢字字符集的特點，提出了相應的識別和集成方法。 -
Texture segmentation is an important and difficult problem in the texture analysis ; texture feature extraction and classification are crucial in the texture segmentation
紋理分析中一類重要且難度較大的問題是紋理分割，紋理特徵的提取和特徵的分類是紋理分割的關鍵。 -
Some new ideas are proposed in this thesis based on svm and ica : firstly, a modified svm method based on posteriori probability theory is given, which makes the classification super plane corrected from the original one. a better classification result is obtained without finding the best quadric optimization algorithm and large scale training datasets are reduced to small scale training datasets at the same time. secondly, ica is applied to the preprocessing period of the recognition character images for purpose of feature extraction and dimension reduction
本文在系統研究svm和ica的基礎上提出了以下新的觀點：其一是採用了引入后驗概率的修正svm方法，它在原分類超平面的基礎上不斷修正分類超平面，提高分類正確率，從而避免了尋找最優二次規劃的麻煩，同時將大規模訓練樣本集化為小規模訓練樣本集；其二是應用獨立分量分析ica對需要進行識別的字元圖像預處理，提取字元特徵，降低輸入數據的維數，從而可以為下一步的svm識別過程提供好的數據集，用以提高識別率和識別速度。 -
The process of target identification is formulated, which involved feature extraction, dimension reduction and classification. for solving the overlap of each subspace of a wavelet library in frequency, there are two approaches that are best basis ( bb ) and local discriminant bases ( ldb ). their measure and searching algorithm were researched
從數學的角度描述了目標識別過程，依據cwt和多分辨分析表示信號的特點，提出了以信號尺度?小波能量譜、時間?小波能量譜、多分辨分解系數和各子帶能量強度為特徵的方法。 -
Based on the method of feature extraction, the method of model - based sar target classification using feature is studied
在研究特徵提取方法基礎上，論文第四章研究了利用特徵基於模型的sar目標分類方法。 -
So research in this paper on ommateum contain two points, first researching ommateum like other normal visual system, considering contents including preprocessing of ir images, target image segmentation, feature extraction and target classification ; second researching ommateum ' s special feature
本文就是從這兩點展開討論研究。首先，把復眼作為一般視覺系統看待，從圖像的預處理、圖像的分割、特徵提取以及目標的分類與識別，這一系列的一般視覺處理過程來考慮。 -
Compared with the other traditional algorithms, our synergetics based classification has the distinguished superiorities in feature extraction layer. the adjoint vectors representing the statistic feature of fingerprint images make global retrieve possible, promote the classification efficiency and deduce the feature extraction difficulty
與傳統特徵提取過程不同，伴隨向量提取了指紋像素域的統計特徵，在指紋庫中形成整體檢索，有效提高了分類效率，降低了特徵提取的難度。 -
In the pre - processing phase, each character is fed into a pre - processor, this makes feature extraction and recognition easy. in the first - grade classification phase, the dissertation puts forward border - table subtract of maximum and minimum feature left - border - table intermission feature improving width feature crossing amount average feature, these features combines with some existing features, realizes the ability of classification in the first - grade classification phase better
在第一級分類階段，本文提出了邊沿表極值差特徵、左邊沿表間斷特徵、改進的寬度特徵、針對所區分的字元在不同局部范圍取交截特徵的平均值與閾值比較等特徵，這些特徵與已有的一些特徵相結合，較好的實現了在第一級分類階段對字元的分類能力。 -
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively
本文主要研究了矩函數和神經網路分別在圖像識別的特徵提取和模式分類方面的應用。 -
Then this paper presents a text classifier based on neural networks ( nntcs ) as the main topic. some key techniques implemented in this classifier, such as feature extraction, dimension reduction, hierarchical classification and classifier training, are discussed in details
然後著重介紹了一個基於神經網路的文本自動分類系統nntcs ，重點闡述了特徵提取、空間降維、層次分類和分類器訓練等技術的實現方法。 -
In this paper preprocessing, feature extraction and selection, and rough classification are performed on then chromosome images. some experiments are made to verify the effectiveness of the methods presented
本文對染色體圖像進行了預處理，特徵提取與選擇和初步分類分析，通過大量的實驗證明我們所採用的演算法是有效的。 -
In this paper, first, the five modules in the system are explained in detail including the input of chinese character, preprocessing, rough classification, fine classification and post - processing. especially as to the neural network classifier, we not only discuss the fundamental principle of bp network, feature extraction, the realization of bp network, the selection of network structure and parameters, but also discuss its drawbacks and its improved solutions
本文首先對系統中漢字輸入、預處理、粗分類、細分類和后處理五大模塊進行了較詳細的說明，特別是對神經網路分類器，不僅討論了其原理、特徵提取、 bp演算法實現和網路結構及參數選擇，還探討了bp演算法的缺陷問題並提出了改進方法。 -
For chinese phrase segmentation, a method of chinese phrase segmentation based on index was proposed and implemented, which has greater classifying efficiency compared with the traditional mechanical classification. for feature extraction, the method of mutual information was used, the disadvantages of traditional method of mutual information was analyzed, as well as the improving measures were brought out. for mail presentation, improved upon the traditional vector space model, a presentation method was proposed which is more suitable for the bayes computing
在中文分詞方面，設計並實現了一種基於索引的中文分詞方法，提高了傳統的機械分詞法效率;在特徵提取方面，採用互信息值的方法，分析了傳統互信息方法的缺陷並給出了改進措施;在郵件的表示方面，對傳統的向量空間模型進行了改進，提出並採用了一種更加適合於貝葉斯計算的表示方法;用大量的測試樣本對引擎進行了測試，並就結果進行了討論分析。 -
Research on the feature extraction based on the acoustic property of target is the main method to the target classification
利用目標聲振動信號進行特徵提取是目標識別的有效手段。 -
As solving other classification problem, we firstly research on the feature extraction of relation extraction problem, viz
與解決其他分類問題一樣，本文首先對關系抽取問題中的特徵提取進行了研究。 -
This paper researches dimensionality reduction both from feature extraction and selection techniques. this paper first introduce basic conception and physics elements about hyperspectral image, at the same time introduce the basic conception of feature extraction and selection techniques and the research status in quo, and classification, target detection, then analysis character of hyperspectral image, including its data expression and three characters
論文首先介紹了高光譜圖像的基本概念和物理原理，同時介紹了特徵提取和特徵選擇技術的基本概念及研究現狀，以及分類和目標檢測等相關技術，然後分析了高光譜圖像的特性，包括它的數據表示方式，信息獲取以及三個顯著特點。
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