特征提取

基于DSP的低分辨率红外目标特征提取及识别

Low-resolution IR Target Feature Extraction and Recognition Based on DSP

一种基于EEG特征提取的癫痫棘波综合检测判决方法

A Synthetic Detection Method Based on Feature Extraction of Epileptic Spike Waves in EEG

Web文本挖掘中特征提取算法的分析及改进

Analyse and improvement for feature extracting from Web text mining

水平分辨率对DEM流域特征提取的影响

Effect of Horizontal Resolution on the Watershed Features Derived from DEM

利用GA与SVM对NIDS进行关键特征提取

Key Feature Selection for NIDS Using GA and SVM

SVM用于基于块划分特征提取的图像分类

Partition-Based Image Classification Using SVM

基于PCA与ICA特征提取的入侵检测集成分类系统

An Intrusion Detection Ensemble System Based on the Features Extracted by PCA and ICA

基于最大间距准则（MMC）新的有效特征提取方法

New and Efficient Feature Extraction Methods Based on Maximum Margin Criterion

研究的重点是对肝部CT图像，使用MPEG-7的描述子做特征提取，建立一个图像特征数据库。

This paper focuses on how to build a MPEG-7 descriptors ' database of CT images .

最后，采用SOM进行特征提取和聚类分析。

SOM is used for cluster analysis and feature extraction .

电子耳蜗CIS方案与特征提取相组合的语音处理方法

Speech Processing Algorithm with Combination of CIS Strategy for Cochlear Implants and Feature Extraction

再使用四元数Gabor滤波器组进行解析特征提取；

Second , a quaternionic Gabor filter bank was designed to extract analytic features ;

在进行图像特征提取的过程中，论文针对焊缝图像的特点对Hough变换进行了改进。

In the procedure of edge extracting , the Hough transform algorithm was modified .

ISAR目标象的特征提取和特征选择

Feature Extraction and Feature Selection of ISAR Object Image

一种基于LBP的人耳特征提取方法

A Feature Extraction Algorithm of Ear Image Based on LBP

基于KFD准则的SAR目标特征提取与识别

SAR Target Feature Extraction and Automatic Recognition Based on KFD Criterion

首先利用PCA对小波高频子带进行局部特征提取；

First , wavelet decomposition is conducted on the noisy image , and PCA is used to extract local features ;

就模式识别中特征提取和分类决策两个阶段进行了研究.在特征提取方面，提供了一种用于提取图像不同中心频率和方位特征的Gabor滤波器组的设计方法；

A method for designing Gabor filter banks with various frequencies and orientations was proposed to perform feature extraction .

Kohonen网络用于雷达抗速度欺骗干扰中的特征提取

Feature Extraction with Kohonen Network against Radar Velocity-Deception Jamming

基于BLOB的积木特征提取算法

A BLOB-based Module ′ s Feature Extraction Algorithm

一种基于N-Gram改进的文本特征提取算法

An Improved Text Feature Extraction Algorithm Based on N - Gram

Web内容挖掘包括信息提取和信息检索，Web信息提取的主要过程包括向量表示、特征提取、特征缩减和文本挖掘；

The WCM consists of Web Information Extraction ( Web IE ) and Web Information Retrieval ( Web IR ) . The process of Web IE includes vector expressing , character extracting , character reducing and text mining .

目的探讨小波分析在肾综合征出血热（HFRS）变化趋势特征提取上的应用。

Objective To explor the application of wavelet analysis in Haemorrhagic Fever with Renal Syndrome ( HFRS ) period .

由于算法对单个类别的多训练样本进行特征提取，因此更为有效的描述了样本的特征空间，同时结合SVM处理高维数据分割的强大能力，取得了很好的识别效果。

Because SVM has the strong ability of segmenting high dimension data and PCA can distill the eigenspace effectively , the result of the experiment is satisfied .

空间运动目标雷达散射截面（RCS）序列为非平稳时间序列，常用时间序列分析方法很难对其进行分析和特征提取。

RCS of space object is nonstationary time series , it is difficult to do feature extracting using common time series analysis methods .

眼球运动相关EOG信号的波形分析与特征提取

Analysis and extraction of eigenvalues based on eye movement related electrooculography

传统的方法都是用模板匹配和各种算子，比如：Canny算子、Sobel算子、Log算子等来进行边缘和线性特征提取。

Up to now , traditional methods employ template matching with different operators such as Canny Operator , Sobel Operator , Log Operator .

独立分量分析（ICA）方法进行人脸特征提取，比传统的主元分析（PCA）方法更加有效的利用了高阶统计信息。

For face feature abstracting , Independent Components Analysis method is more efficient than Principal Components Analysis in making use of high rank statistic information .

探讨了一种基于角点的虚拟注册方法，详细叙述了从2D图像特征提取与3D模型匹配，到显示配准结果的全过程。

A virtual registration method based on the corner is discussed and the whole process of 2D image feature abstracting , matching with 3D models and displaying the matching result is mentioned in details .

提出了一种新的基于SVM的虹膜识别算法，通过对虹膜纹理采用小波变换来实现特征提取，最后通过SVM完成模式匹配。

A new algorithm based on the SVM of iris recognition is proposed . Feature is extracted with an appropriate scale wavelet , then SVM is used to match two iris codes .