Description: This book is about the use of artificial neural networks for supervised learning problems. Many such problems occur in practical applications of artificial neural networks. For example, a neural network might be used as a component of a face recognition system for a security appli-
cation. After seeing a number of images of legitimate users' faces, the network needs to determine accurately whether a new image corresponds to the face of a legitimate user or an imposter. In other applications, such as the prediction of future price of shares on the stock exchange, we may require a neural network to model the relationship between a pattern and a real-valued quantity. Platform: |
Size: 20091030 |
Author:kj5566 |
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Description: 基于神经元网络和 Linear Auto-Associative memory 和pca的人脸识别程序。-based on neural network and Linear Auto-Associative memory pca and face recognition procedures. Platform: |
Size: 5120 |
Author:王大宝 |
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Description: 很不错的小波神经网络人脸检测源码，与大家分享-Very good wavelet neural network face detection source code to share with you Platform: |
Size: 5120 |
Author:李坤 |
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Description: 很不错的小波神经网络人脸检测源码，与大家分享-Very good wavelet neural network face detection source code to share with you Platform: |
Size: 2048 |
Author:李坤 |
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Description: 人脸识别，基于BP神经网络的人脸图像识别方法的研究。-Face Recognition Based on BP Neural Network Face Recognition Method. Platform: |
Size: 282624 |
Author:ll |
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Description: 很好的关于人脸识别的毕业论文，从中国知网付费下载得到，《基于BP神经网络的人脸识别系统研究 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Based on BP Neural Network Face Recognition System" I hope useful to everyone. Platform: |
Size: 2015232 |
Author:赵洋洲 |
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Description: Genetic Algorithm and Neural Network for
Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification Platform: |
Size: 424960 |
Author:Amila Pathirana |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
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Description: 本程序是想人们说明了一种基于Gabor小波与神经网络的人脸检测的算法-This procedure is explained to people based on Gabor wavelet and neural network face detection algorithm Platform: |
Size: 290816 |
Author:韩小芳 |
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