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其他书籍 与场景变换检测(Scene Change Detection)相关的中英文学术论文
与场景变换检测(Scene Change Detection)相关的中英文学术论文
人工智能/神经网络 Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade objec
Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
邮电通讯系统 Channel Estimation and Data Detection for Mobile MIMO OFDM System 一篇详细介绍Channel Estimation and Data
Channel Estimation and Data Detection for Mobile MIMO OFDM System
一篇详细介绍Channel Estimation and Data Detection for Mobile MIMO OFDM System的博士论文。
其他 基于现代谱估计方法的间谐波检测Spectrum estimates based on modern methods of detection of harmonic
基于现代谱估计方法的间谐波检测Spectrum estimates based on modern methods of detection of harmonic
其他书籍 一篇关于碰撞检测算法的论文（英文）:Collision Detection: Algorithms and Applications
一篇关于碰撞检测算法的论文（英文）:Collision Detection: Algorithms and Applications
技术资料 05 calgary PhD Change Detection of Man-made Objects Using Very High Resolution Images.pdf
资料->【E】光盘论文->【E1】斯坦福博士论文->05 calgary PhD Change Detection of Man-made Objects Using Very High Resolution Images.pdf
matlab例程 采用蚁群算法检测图像边缘 This a demo program of image edge detection using ant colony, based on the paper, "An
采用蚁群算法检测图像边缘
This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008.
软件设计/软件工程 ellipse detection using the hough transform 作者 H.K. Yuen, J. Illingworth and J. Kittler Department
ellipse detection using the hough transform 作者 H.K. Yuen, J. Illingworth and J. Kittler
Department of Electronics and Electrical Engineering
University of Surrey, Guildford。对霍夫变换检测检测椭圆的原理有一定的参考意义。
技术资料 Real-time Face Detection from One Camera
·Real-time Face Detection from One Camera
电子书籍 小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal mo
小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal
model of the system to be monitored. Partial physical knowledge, if available, can be combined
with the nominal model to perform fault isolation.