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基于人工神经网络的图像识别方法研究。基于神经网络的人脸检测研究。基于特征融合与神经网络的手写体数字识别技基于遗传神经网络的手写体数字识别研究术研究。基于遗传优化的神经网络的银行票据手写数字识别。一种改进的人工神经网络模型-Based on artificial neural network image recognition method. Neural Network Based Face Detection Research. Based on Feature Fusion and Neur
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基于VC的人脸检测系统源码,其中用到了神经网络的相关理论进行编程-VC-based Face Detection system source code, which uses a neural network theory to program
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在对图像进行Gabor变换后使用BP神经网络进行人脸检测的MATLAB程序-Gabor transform in the image using BP neural network after the face detection process MATLAB program
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face detection using neural network
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Face Detection using Gabor feature extraction and neural network
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基于Gobor小波与人工神经网络的人脸检测,经过实践效果很好!-Gobor based on wavelet and artificial neural network of face detection, after practice the effect is very good!
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基于高波小波特征提取和神经网络的人脸检测Matlab源码-Matlab source code based on the high wave wavelet feature extraction and neural network face detection
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This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot
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Face Detection, neural network
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人脸识别, 神经网络 , 有测试图片, 和训练图片。-face detection by neural network. include training image and test image.
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基于gabor的提取特征,利用人工神经网络进行人脸检测-
Feature extraction for face detection based on Gabor, using artificial neural network
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CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者:陆振波
电子
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gabor+神经网络实现人脸检测;可能会提示缺少data文件夹,自己在根目录下建一个就好了-gabor+ neural network face detection may be prompted to missing data folder in the root directory of built himself a nice
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[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载
作者: 陆振波
毕业院校:海军工程大学,船舶与海洋工程(水声工程),博士
精通方向:信号处理,图像处理,人工智能,模式识别,支持向量机,深度学习,机器学习,机器视觉,群体智能,非线性与混沌,Matlab与VC++混编,大数据
擅长技能:团队激励,战略规划,企业文化,组织架构,C,C++,Matlab,OpenCV,并行计算,图像处理,智能视觉,卷积神经网络,人脸检测,行
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在机器学习中,使用伽柏特征提取和神经网络来进行人脸检测。
-Face Detection using Gabor feature extraction and Neural Network
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从卷积神经网络的发展历史开始,详细阐述了卷积神经网络的网络结构、神经元模型和训练算法。在此基础上以卷积神经网络在人脸检测和形状识别方面的应用为例,简单介绍了卷积神经网络在工程上的应用,并给出了设计思路和网络结构。(Starting from the history of the convolution neural network, the network structure, neuron model and training algorithm of the convolution neur
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第一个m文件:构造、训练BP神经网络并计算其识别率;第二个文件将进行人脸检测。注意:orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
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用市面上的摄像头,可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and n
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