搜索资源列表
vcCellRecg
- 本系统是一个医院中血液红细胞计数的实用系统，该系统可以很方便地应用于临床诊断上，大大的提高速度和效率。用vc6实现。-the hospital system is a red cell blood count of usable system, The system can be conveniently applied to the clinical diagnosis and greatly increase the speed and efficiency. Vc6 used to ach
cPP-recog
- 介绍数字图像统计模式识别、模式识别决策方法及实现：测试代码有人脸检测与特征点定位、汽车牌照识别、脑部医学影像诊断、印刷体汉字识别、手写体数字识别、运动图像分析，共6个数字图像模式识别应用实例-Introduction of digital image statistical pattern recognition, pattern recognition and realization of decision making: the test code was face detection an
CT
- 脑部CT图像自动诊断系统，包括特征提取和分类。特征采用灰度共生矩阵。-Automatic diagnosis system of brain CT images, including feature extraction and classification.
Diagnosis-Based-on
- 本文建立了一个基于模块化设计思路的计算机辅助诊断系统借以对乳腺钼靶图像上的微钙化点进行检测和模式识别。 -In this paper, a modular design concept based on computer-aided diagnostic system to mammography for breast microcalcifications on the image to detect and pattern recognition.
Advances-in-Human-Motion-Analysis
- 人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环 节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点 难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recogni
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- 基于pca,dpls流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca, DPLS manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is si
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- 基于pca,dpls流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为csth，程序简单-Based on the pca, DPLS manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object is the CSTH, procedure is
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之九十九，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the ninety-nine percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之九十八，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the ninety-eight percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之九十七，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the ninety-seven percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之九十六，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the ninety-six percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之九十五，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the ninety-five percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十四，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-four percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十三，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-three percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十二，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-two percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十一，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty-one percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之六十，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the sixty percent, which, I hope, you adopted
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- 本程序利用pca实现故障诊断与人脸识别，识别效果很好，分辨率为百分之五十，希望您采纳-The program use pca realize fault diagnosis and face recognition, identify good effect, the resolution for the fifty percent, which, I hope, you adopted
bp
- bp神经网络源代码，适用于故障诊断，人脸识别等等模式识别-BPNeural network source code, suitable for fault diagnosis
PCA
- PCA 很好用的一套程序 对于故障诊断和人脸识别有很好的效果-PCA good set of procedures for fault diagnosis and recognition of good results