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[Graph Recognizefdp5final

Description: Face Detection System Face Detection using gabor feature extraction and neural networks
Platform: | Size: 167366 | Author: hujik | Hits:

[Graph Recognizefdp5final

Description: Face Detection System Face Detection using gabor feature extraction and neural networks -Face Detection System Face Detection using gabor feature extraction and neural networks
Platform: | Size: 166912 | Author: hujik | Hits:

[matlabfdv41

Description: 使用Gabor-Feature 的人脸检测matlab程序,自带测试图像-Face Detection using Gabor-Feature Extraction and Neural Networks
Platform: | Size: 15535104 | Author: 张雯 | Hits:

[Multimedia DevelopCNNcharacterrecog

Description: This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others This release includes sample of handwritten digits recognition using CNN.
Platform: | Size: 551936 | Author: ssss | Hits:

[Graph Recognizefdp5final

Description: Face Detection System 基于Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤: 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network",等待程序训练好样本 5. 点击"Test on Photos",选择一个.jpg图片,识别。 6. 等待程序检测出人脸区域 createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-Face Detection System Face Detection using gabor feature extraction and neural networks
Platform: | Size: 227328 | Author: 郑碧波 | Hits:

[matlabFace-Detection-System

Description: Face Dect ion System in matlab Using Neural networks.-Face Dectection System in matlab Using Neural networks.
Platform: | Size: 19116032 | Author: Mohamed Hashi | Hits:

[Special Effectsdetect_face

Description: 利用神经网络和高波小波特征进行人脸检测的Matlab源码-Using neural networks and high-wave wavelet feature face detection Matlab source
Platform: | Size: 214016 | Author: linjinjia | Hits:

[AI-NN-PRCNN

Description: 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 navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.
Platform: | Size: 627712 | Author: 郭志 | Hits:

[Algorithmclass_images

Description: We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks
Platform: | Size: 3631104 | Author: alireza0675 | Hits:

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