搜索资源列表
FaceTrain
- 基于神经网络的人脸朝向识别程序。具有极高的准确度。-based on neural networks face towards the identification procedures. With high accuracy.
FaceTrain
- 基于神经网络的人脸朝向识别程序。具有极高的准确度。-based on neural networks face towards the identification procedures. With high accuracy.
LVQ-neural-network
- 一个案例 LVQ神经网络的预测——人脸朝向识别-LVQ neural network prediction- Face towards the identification
Randm
- LVQ神经网络的预测——人脸朝向识别技术-LVQ neural network prediction- Face towards the identification
Face-towards-the-recognition
- 人脸朝向识别算法——BP神经网络模型及LVQ神经网络模型-Face towards the recognition algorithm- BP neural network model and the LVQ neural network model
Neural-network666
- LVQ神经网络的预测——人脸朝向识别，共10个文件-LVQ neural network prediction-- face towards the identification, a total of 10 documents
lvq-for-predication
- lvq神经网络的预测，用于人脸朝向识别！-lvq for calssify
chap22
- LAQ神经网络：人脸朝向识别，对任意给出的人脸朝向进行识别和预测-The LAQ neural network: the human face to identify any given face toward the identification and prediction
lvq-predict
- LVQ神经网络的预测。利用LVQ神经网络进行人脸朝向识别-LVQ neural network prediction. Using LVQ neural network for face toward recognition
lvq-MATLAB
- 基于LVQ神经网络的预测的人脸朝向识别matlab源程序。-LVQ neural network-based prediction face towards the identification matlab source.
Face-orientation-recognition
- 本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。 本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。 -This study is the following steps: first extract facial feature vector
diercimonijingsai
- 基于神经网络LVQ的人脸朝向识别。对一部分人脸图像进行训练，再输入另外一部分人脸图，判断其人脸朝向-LVQ neural network based on the face towards the identification. On the part of face images for training, and then enter another part of the face diagram, determine its f
face-towards-the-identification
- LVQ神经网络的预测——人脸朝向识别matlab源代码-LVQ neural network prediction- face towards the recognition matlab source code
LVQ
- LVQ神经网络的预测——人脸朝向识别的源程序及数据。用matlab程序编写。-LVQ neural network prediction- face towards the identification of the source code and data. Using matlab programming.
eg22-renliangchaoxiangshibie
- 《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！ -The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have ce
22-LVQ
- LVQ神经网络的预测——人脸朝向识别.能够准确的识别人脸朝向，很实用-LVQ FECE
案例22
- 人脸朝向识别，可以实现5个不同方向的人脸朝向识别，内置注释。(Face face recognition, can achieve 5 different directions face face recognition, built-in annotation.)
neural network
- 自组织特征映射网络的亚洲足球水平聚类；人脸朝向识别(Asian football level clustering based on self organizing feature mapping network.Face orientation recognition)
BP神经网络人脸朝向识别
- 基于matlab平台的BP神经网络人脸朝向识别。(Face orientation recognition of BP neural network)
LVQ神经网络算法判定人脸朝向
- 基于matlab的LVQ神经网络进行人脸朝向识别。(Face orientation recognition based on MATLAB LVQ neural network.)