资源列表
deep-belief-network
- 训练一个深度网络，并应用于MNIST库上进行字体识别-Training a deep autoencoder or a classifier on MNIST digits
69491709Training-code-for-SRCNN
- 先用训练样本对模型SRCNN进行训练，然后使用测试样本测试模型的有效性-First with the effectiveness of the model SRCNN training samples for training, and then use the test sample test model
SAE_DBN_CNNToolbox
- 多种深度学习框架，主要包括堆栈稀疏自动编码器，深信度网络，卷积神经网络等。对于灰度图像和高维图像，展现非常强大的学习性能。-A variety of deep learning framework, including automatic stack sparse encoder, is convinced of the network, convolution neural networks. For grayscale images and high-dimensional image, s
SPM_SC
- This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码，用于图像检索，识别与分类-This package contains the Matlab codes im
EFG_1D
- 一维无网格法求解悬臂梁的应力、应变和位移，对初学者有帮助-Solving one-dimensional grid cantilever stress, strain and displacement, be helpful for beginners
ORLPPCAPSVM
- ORL标准人脸库，40个人每人10张不同角度不同表情照片。 通过PCA主成分分析提取特征，再用SVM进行分类，达到较好的人脸识别。-Base on the standard facial library ORL,which contend 40 persons ,10 photos per one in different ankle and different emotion. The program use PCA and SVM method to recognize face.
Differential-Evolution-master
- 差分进化算法的实现 是基于Matlab代码的-Differential evolution algorithm
PCA_based-Face-Recognition-System
- 基于matlab的人脸识别源代码，可以调用摄像头来识别人脸。-Face detection based on matlab source code
HSV_matchShapes
- 基于HSV和matchShapes的数字手势识别，能识别多种数字手势-Based on the number of HSV and matchShapes gesture recognition, to identify a variety of digital signal
bysj
- 基于欧氏距离特征的交通标志识别，主功能以及实现，但是还有待优化，算是比较粗糙-Image recognition of traffic signs based on feature
Handwriting-recognition-algorithm
- 基于卷积神经网络的手写体识别算法，测试数据和训练数据都有，笨人已经检验过，很好用-Handwriting recognition algorithm based on the convolution neural network
滤波人脸识别
- 利用orl图像数据集，进行图像滤波，人脸检测。