feature extraction classification
英 [ˈfiːtʃə(r) ɪkˈstrækʃn ˌklæsɪfɪˈkeɪʃn]
美 [ˈfiːtʃər ɪkˈstrækʃn ˌklæsɪfɪˈkeɪʃn]
【计】特征抽取分类
双语例句
- The Study of Electric Power Equipment Image Feature Extraction and Classification Method
电力设备图片特征提取和分类方法的研究 - Application of S-transform to feature extraction and classification of underwater target
S变换在水下目标分类识别中的应用 - The experimental comparisons show that this algorithm outperforms traditional KPCA and K-Nearest Neighbor classifier on both feature extraction and classification.
通过实验比对可知该算法效果在特征提取和分类方面均优于传统核主成分分析法以及最近邻分类器。 - Feature Extraction and Classification of EEG for Imagery Movement
想象运动的脑电特征提取及分类研究 - Study on Feature Extraction and Classification of Melancholia EEG
抑郁症脑电信号特征提取及分类研究 - Research on Methods and Applications of Feature Extraction and Classification of Hyperspectral Microscopic Images
高光谱显微图像的特征提取与分类方法及其应用研究 - Study of ECG Feature Extraction and Classification Based on Multiple Cardiac Cycle Fusion
心电信号多周期融合特征提取和分类研究 - The Methods for Feature Extraction and Classification of Radar Ship Target Using Neural Network
基于神经网络的舰船雷达目标特征抽取与分类方法研究 - Recurrence quantification analysis based on surface EMG signal feature extraction and classification
基于递归量化分析的表面肌电特征提取和分类 - Target Feature Extraction and Classification of Wireless Sensor Network
无线传感器网络的目标特征提取及分类 - Multi-scale feature extraction and classification of gene expression data
基因表达数据的多尺度特征提取与分类研究 - Research on feature extraction and classification of red blood cells
一种红细胞特征提取与分类识别的研究 - Feature extraction and classification of coal mine overburden dumps based on data merging of multi-source remote sensing
基于遥感信息融合的阜新煤矿排土场地物提取与分类 - For personal identification based on imperfect irises, accurate iris segmentation is helpful to the feature extraction, classification and identification.
对于不完美的个人身份鉴别，高精度的虹膜区域分割有助于后面的特征提取和分类识别。 - Feature Extraction and Classification for Images
图像的特征提取和分类 - The main research contents for image processing include image enhancement, image recovery, image code and image classification. This paper mainly deals with feature extraction and classification for images.
图像处理的主要研究内容包括图像增强、图像复原、图像编码、图像分类等，本文中我们主要讨论了图像特征提取和分类的问题。 - Mathematical techniques for pre-processing, feature extraction and classification of ship configuration recognition are investigated.
本文研究了船型识别中的预处理、特征抽取及分类的数学方法。 - Face recognition includes three parts: face detection and localization, feature extraction and classification.
人脸识别主要包括三方面的内容：人脸检测与定位，特征提取，分类与识别。 - This paper mainly studies image preprocessing, feature extraction and classification analysis, accordingly realizes the chromosome recognition.
本文对染色体图像进行预处理、特征提取和分类分析，实现对染色体的识别。 - Methods of feature extraction and classification of target in model-based SAR ATR using feature are studied systemically in this paper.
本文系统研究了利用特征基于模型SARATR系统中，SAR图像目标特征提取方法和分类方法。 - Fingerprint Feature Extraction and Classification Based on Macroscopic Curvature
基于宏观曲率的指纹特征提取和分类 - Then process the pixels in the framed area by using detection, feature extraction and classification algorithms.
然后对框定区域内的像素进行检测、提取、特征提取以及分类处理。 - Firstly, feature extraction and classification of image acquisition has been done.
首先对采集图像进行特征提取和特征分类。 - Based on the in-depth researches about expression feature extraction and classification, People proposed a variety of effective methods.
人们对表情特征提取方法和分类方法进行了深入研究，提出了许多行之有效的方法。 - Face recognition consists of three parts: preprocessing, feature extraction and classification.
人脸识别主要有三个部分组成：图像预处理，特征提取和分类识别。 - Recognition of the key steps, including feature extraction and classification.
人脸识别研究的关键步骤包括特征提取和分类识别。 - The feature extraction and classification algorithms under the condition of two and multiple tasks of motor imagery were investigated.
本文针对基于运动想象的BCI信号处理技术进行了研究，研究了受试者在执行两个和多个运动想象任务下的脑电信号的特征提取和分类算法。 - Face recognition system is divided into three key points, image preprocessing, feature extraction, classification and identification.
人脸识别系统分为预处理、特征提取、分类识别三个关键环节，每一阶段对人脸识别系统性能都有所提升。 - Feature extraction and classification are the core steps of protein function prediction.
特征提取和分类算法是蛋白质功能预测的核心步骤。 - Conclusions: Fisher discriminant would be better applied to the feature extraction and classification decisions of EEG data.
研究结论：Fisher判别法能较好的应用于脑电数据特征提取和分类决策中。