1.
Study on Some Subspace Methods for Feature Extraction and Their Applications in Face Recognition;
子空间特征提取方法及其在人脸识别中的应用
2.
Research on Methods of Subspace Feature Extraction Based on Manifold Learning in Face Recognition
人脸识别中基于流形学习的子空间特征提取方法研究
3.
Research on Subspace Analysis-based Feature Extraction and Face Recognition;
基于子空间分析的人脸特征提取及识别研究
4.
A Study on the Algorithms for Content-based Image Feature Extraction;
基于颜色空间的图像特征提取的研究
5.
Digital Geomorphological Information Extraction and Spatial Pattern Analysisin Shanxi Province
山西省数字地貌特征提取与空间分析
6.
In decomposed eigen subspace, by means of eigen extraction, noise is eliminated and signal to noise (s/n) ratio enhanced.
在分解后的特征子空间中进行特征提取来消除相干和随机噪声，提高地震记录的信噪比。
7.
Investigation on Infrared Characteristics of Space Target and Space Point Target Feature Extraction Based on the Spectrum;
空间目标红外辐射特性研究与基于光谱的空间点目标特征提取
8.
Study of Feature Extraction and Recognition Method of Space Radar Target;
空间雷达目标特征提取与识别方法研究
9.
Study on Methods of Extracting Geometrical Features from Remote Sensing Images with High Spatial Resolution;
高空间分辨率遥感影像几何特征提取方法研究
10.
The Research of Extraction and Recognition of Palmprint Based on Spatial Domain;
基于空间域掌纹特征提取与识别方法研究
11.
The feature excavation and assorting study on remote sensing figure space based on SVM
基于SVM的遥感影像空间特征提取和分类研究
12.
An Approach to Extracting Features of Movement-Related Potentials Based on Neighborhood Spatial Pattern
基于邻域空间模式的运动相关电位特征提取方法
13.
Micro-motion Feature Extraction of Spatial Ballistic Target Based on HRRP Dynamic Sequence
基于一维距离像序列的空间弹道目标微动特征提取
14.
Space Target Recognition Algorithm Based on Wavelet Transform and Singular Value
基于小波变换及奇异值特征提取的空间目标识别
15.
Research on Extracting Rock-desertification Information Based on Vegetation Indexes and Spatial Analysis
基于植被指数特征和空间分析的石漠化信息提取
16.
Feature Extraction and Face Recognition Techniques Based on Subspace Analysis;
基于子空间分析的特征抽取及人脸识别技术研究
17.
Feature Extraction Method of LDA Based on Symmetrical Null Space Criterion
对称零空间准则下的LDA特征抽取方法
18.
In this dissertation, a relevance feedback method using feature subspaces analysis (FSA) is proposed for content-based image retrieval.
论文提出了基于特征子空间分析的相关反馈方法。