Face Recognition using Eigenfaces and Neural Networks. American Journal of Applied Sciences 2006; 2 (6): 1872-1875.Face recognition using eigenfaces and neural networks. M. Rizon,M. Firdaus. Computers and Mathematics With Applications . 2007Mohamed R., Muhammad F. H., Puteh S., et.al, "...
Human Face Recognition Using Convolutional Neural NetworksFace recognitionconvolutional neural networkshybrid systemspattern recognitionimage classificationmachine learningIn this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect ...
A novel chaotic neural network K-set has been constructed based in research on biological olfactory systems. This non-convergent neural network simulates the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an ...
FACE RECOGNITION SYSTEM USING BACK PROPAGATION ARTIFICIAL NEURAL NETWORKS Revathy, N., Guhan, T.: Face Recognition System Using Back propagation Artificial Neural Networks. In: IJAET, vol. III(I), pp. 321–324 (2012)Revathy, N., Guhan, T.: Face recognition system using back propagation artifi...
"Mask Net: Deep Learning-based Face Mask Detection System using Convolutional Neural Networks" (python) to construct a face mask recognition system using Deep Learning after reading numerous research papers and comparing the accuracy and performance of... P Ambadkar,Y Daterao,A Belge,... 被引量...
face recognition[翻译][深度学习理解人脸] 本文译自《Deep learning for understanding faces: Machines may be just as good, or better, than humans》。为了方便,文中论文索引位置保持不变,方便直接去原文中找参考文献。 近些年深度卷积神经网络的发展将各种目标检测和识别问题大大的向前推进了不少。这同时也得益...
第四周:Special applications: Face recognition & Neural style transfer 什么是人脸识别?(What is face recognition?) 欢迎来到第四周,即这门课卷积神经网络课程的最后一周。到目前为止,你学了很多卷积神经网络的知识。我这周准备向你展示一些重要的卷积神经网络的特殊应用,我们将从人脸识别开始,之后讲神经风格迁移,...
Face recognitionNeural networksAn automatic face recognition system with learning capability has been developed using profile analysis. From the face profile a set of 13 significant features have been extracted. A feed-forward neural network trained using these features with back-propagation algorithm has...
Face Recognition Based on Feature Fusion and Boosting RBF Neural Network基于多特征融合和BoostingRBF神经网络的人脸识别人脸识别Zemike矩... JI Xinhao,DING Rongtao,嵇新浩,... - 《计算机科学》 被引量: 2发表: 2008年 Electroencephalogram based face emotion recognition using multimodal fusion and 1-D co...
Use these encodings to perform face verification and face recognition In this exercise, we will be using a pre-trained model which represents ConvNet activations using a "channels first" convention, as opposed to the "channels last" convention used in lecture and previous programming assignments. ...