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.

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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

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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

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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。

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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。

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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

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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。

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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

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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

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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.

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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

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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.

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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。

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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