feature vector 中文意思是什麼
feature vector
解釋
特徵向量-
( 2 ) the key to improve the processing time is the multi - scale feature used to accelerate the binary - process. ( 3 ) apery intelligent character cognitron has been given based on the varied - grid feature vector and multiplayer and multi - mode of cognition psychoanalysis
（ 2 ）識別實時性改進的關鍵是提高二值化處理速度，主要利用小波多尺度特性變閾值的全局搜索為局部定位，提出一種改進的二值化方法。 -
Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve
實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。 -
Feature vector - based nude picture detection
基於特徵向量的敏感圖像識別技術 -
Second, we design a chinese text clustering model ctcm and research main aspects of ctcm such as feature presentation, feature extraction, the adjust of feature vector and clustering algorithm. third, we lay emphasis on the study of text clustering algorithm
然後，我們設計了一個中文文本聚類模型ctcm （ chinesetextclusteringmodel ） ，並針對模型中涉及到的特徵表示、特徵提取、特徵向量調整和聚類演算法等問題進行了研究。 -
In the filtering sub - system using ontology - based profile, we introduce an approach to construct the user ’ s profile based on ontology. ontology provides a formal way to describe the semantics relations between the concepts by using the means of concept - properties model. two algorithms have been designed to calculate the semantic similarity between feature vector and the profile, which have been impoved according to the evaluated results
在基於本體模板的信息過濾子系統中，本文以本體的形式來描述用戶的需求模板，利用本體中的概念關系模型來體現概念間的語義關聯關系，並設計了兩種計算文本特徵向量與本體模板語義相似度的演算法，並根據實驗結果對這兩種演算法進行了改進。 -
This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information
本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ，解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中，解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ，並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式，對疾病和證候的自動診斷進行了研究。 -
This paper emphasizes on researching how to classify object based on feature vector having uncertainty
本論文則主要研究了如何根據具有不確定性的目標特徵向量來識別目標。 -
Energy spectrum ananlysis using wavelet technique is studied and applied to deal with feature exstraction of missile fault signals, from which a feasible feature vector is created, to be used by the fdes based on inn. parameters for diagnosis are also selected based on two different criteria : the cluster divergence of sample datas and the diagnosis reliability of parameter candidates
研究了小波能量譜分析技術在地空導彈故障數據特徵提取方面的應用；提出了基於樣本綜合離散度和參數診斷置信度兩種診斷參數選擇的方法，從而為基於集成神經網路的故障診斷做好了準備。 -
The system firstly learns the domain training samples by using thesaurus to process word - separation and word - frequency statistics. according to word - frequency distribution, it chooses the feature collection and their weights to formulate feature vector and generate domain model and user model
系統首先對領域訓練樣本進行學習，利用領域詞典對訓練文本進行詞條切分和詞頻統計，並根據詞頻分佈，提取代表採集目標的特徵項集和相應的權重，生成特徵矢量，形成初始領域模型和用戶模型。 -
Then we consider the applications of music structure to audio - based mir and music summarization based on the labeled music structure information. first we extract the pitch class profile ( pcp ) feature vector through the analysis of music representation
首先通過分析音樂的表達方式提取了pcp特徵，這是一種基於幀的特徵，它較好的結合了聲學層的頻率和音樂語義層的十二平均律信息。 -
The feature vector, usedin the vector space model for classification, consists of variousfactors, including the semantic distance from the sentence to the topicand the distance from the sentence to the previous relevant contextoccurring before it
我們分類採用的特徵向量包含多種因素，其中包括當前句子到話題的語義距離以及當前句子到有效上文句子的距離。 -
In feature extraction step, we apply homogeneity into text detection, and we compare using the gradient, edge extract and homogeneity mapping to enhance corners and texture features, and then use a slip window to get different kinds of texture features as the feature vector, and then after comparing the accuracy result of svm and bp neural network, we choose svm as the classifier
在特徵提取步驟中，本文把一致性h應用到文本區域提取領域，使用邊緣空間映射和一致性h空間映射兩種方法得到特徵圖像，並比較了兩種空間對于文本提取的影響;對得到特徵圖像，使用滑動窗口比較了提取不同維數的紋理特徵作為特徵向量的結果。 -
2 ) to increase the difference, the non - linear transform function is used. the each pixel is computed by the average of a window ' s energy, which is gabor wavelets energy and the input feature vector of unsupervised classification
2 ）對濾波后圖像進行非線性處理，以加大不同類之間特徵的差異，給出了計算圖像gabor小波能量特徵的計算方法，該能量特徵作為無監督分類器的輸入向量。 -
A 31 - dimension feature vector is selected which can best resemble the digit ' s characteristic of construction and statistics
針對編號行數字，選取了能較全面地體現它們的結構和統計特性的31維特徵向量作為原始特徵。 -
In nntcs, we use artificial neural networks ( ann ) as the classifier. the recorded term frequencies form the original feature vector, matching with neurons in the input layer of ann one by one
系統使用神經網路作為分類器，特徵詞的詞頻組成原始特徵向量，和神經網路輸入層的神經元一一對應。 -
By projecting feature vector to every class subspace, the character can be determined to one class in accordance with the projecting length. this is the difference between subspace method and other statistic methods
在分類決策時，將樣本特徵矢量向各類別子空間投影，由投影長度判別樣本歸屬，這也是子空間方法與其它統計模式識別方法的不同之處。 -
Frequency using wavelet theory, another is multi - channels based on gray. the first method is based multi - scale decompression using wavelet theory, it extract gray feature from each channel to form feature vector, it can distinguish objects, but this method not have invariant property when object rotate
基於小波的頻率多通道是從小波多分辨分解的角度，提取各頻率通道的灰度特徵形成特徵向量，該方法可以很好的區分目標，但不具有旋轉不變性。 -
Then, retrieving - monitoring agent uses the feature vector to search information and document on internet
然後，由搜集、監測agent根據領域模型在internet上搜集文檔和信息。 -
Underwater target recognition based on fractal feature vector
基於分形特徵矢量的水下目標識別 -
In essence it takes the decision profile and decision template as target ' s feature vector and template respectively, and adopts template matching method to target recognition
該方法實質上是將目標的決策分布圖作為特徵矢量，將其和每類目標的決策模板進行匹配以實現融合識別。
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