PCA的例句大全

Conclusion ADC value measured from DWI can be used to differentiate prostatitis and PCa.

结论MR扩散 加权成像的adc值有可能用于前列腺炎与癌的鉴别.

Feature Fusion Face Recognition Based on WPT and PCA

基于WPT/PCA的特征级融合人脸识别方法

Application of PCA based on kernel function in analysis of QAR data

基于核函数的PCA在QAR数据分析中的应用

Conclusions there are effective to control PHN and to improve the life of quality with PCA.

结论：病人皮下自控镇痛能有效的控制带状疱疹后神经痛，改善病人的生活质量。

The total nitrogen in the samples prepared with the TCA, PCA, SSA and AL methods are 833, 878, 841 and 701 mgN/ 100g respectively.

以TCA、PCA、SSA和AL法沉淀蛋白质后得到对虾肌肉提取物中总氮量分别为833、878、840和701mg·N／100g。

Fusion of PCA and NMF combined with image fusing for face recognition

结合图像融合的PCA与NMF相融合的人脸识别

Systematic clustering method and PCA are used to divide area. 36 counties are divided into 5 areas.

用系统聚类和主分量分析方法，对困难程度进行分区，共分出5个区。

Study of a nonlinear PCA fault detection and diagnosis method

非线性主元分析故障检测和诊断方法及应用

Fault Detection and Diagnosis Based on PCA for Thermal Boiler Processes

基于PCA的火电厂锅炉过程故障检测与诊断

Principal component analysis ( PCA ) is an important method widely used in data compression and feature extraction.

主分量分析是一种线性特征抽取方法,被广泛地应用在人脸等图像识别领域.

ESN static prediction model for BOF end-point based on PCA

基于主元分析的转炉终点ESN静态预测模型

Overlaying Clustering Results from PCA with Clustering Results from Self-Organizing Maps.

重叠比较从主要组成分析来的丛集结果,与从 自我 组织图方法来的丛集结果.

Major decomposition techniques include the Principal Component Analysis ( PCA), the eigenspace comparison method, the MTY method, the step-down method, and the multiway kernel PCA method.

主流分解技术包括了主成分分析（PCA），特征空间比较法，MTY方法、步降方法、多向核主成分分析方法。

Principal component analysis ( PCA ) was applied to remove cardiac field artifact ( CFA ) from the HEP.

使用主成分分析方法去除掺杂在 HEP 中的心电场伪迹.

The analgesic effect, effect and vital signs after applying PCA were recorded.

记录比较行自控镇痛后的镇痛效果 、 副反应及生命体征情况.

Method 263 case of suspicious prostatic carcinoma ( PCA ) were biopsies by transrectal ultrasound guidance.

方法采用直肠超声引导经直肠对263例怀疑前列腺癌患者行前列腺穿刺活检.

So KPCA can extract the feature set more suitable in categorization than classical conventional PCA.

核主成分分析与传统主成分分析相比,可以得到更好的适合分类的特征.

KPCA extracting principal component with nonlinear method is an improved conventional PCA.

摘要核主成分分析方法是主成分分析的改进算法,其采用非线性方法提取主成分.

Objective To compare the efficacy and safety of patient-controlled analgesia ( PCA ) of epidural with intravenous fentanyl.

目的比较术后经硬膜外和静脉应用芬太尼病人自控镇痛 ( CA ) 临床效果和安全性.

The mean PSA-TZ in BPH and PCa is ( 0.25±0.19 ) and ( 0.52±0.25 ) respectively ( P < 0.01 ) .

两组PSAD-TZ平均值分别为 ( 0.25±0.19 ) 和 ( 0.52±0.25 ),两组比较P< 0.01.