资源列表
matrbf
- 在MATLAB中调用核函数为rbf的svm，通过训练数据对测试数据进行分类（仅适用于二分类数据）(In MATLAB, use the kernel function rvf svm, through the training data on the test data classification (only for two categories of data))
MATLAB 三轴加速度信号处理
- 对三轴加速度出传感器的原始数据进行处理，平滑噪声，傅里叶fft(The raw data of the three-axis acceleration sensor is processed, smoothing the noise)
matlab课件
- MATLAB课件，包含程序设计，在通信专业中的应用。(MATLAB courseware, including program design, communication professionals in the application)
CNN-123
- 区别于传统的图像识别，将一维的数据放入cnn网络进行识别(Different from the traditional image recognition, one-dimensional data into the cnn network to identify)
loadcaffe-master
- 通过caffe和matlab，实现cnn网络(supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-binding However you can't use bo
CNN_Torch7-master
- 在ubuntu下实现cnn网络，有相关数据集(CNN_Torch7 ========== This code use the code of Supervised Learning tutorial of Torch7. I add the loading of image by using graphicsMagick for Torch7. 1. for the code intepretation: http://code.madbits.com/wiki/doku.php?id
DeepLearningDropout-master
- dropout和深度学习算法的结合使用，有详细的使用说明和数据集(Three types of layers: - C: convolutional layer (matrix map) - MP: max-pooling layer (matrix map) - F: fully connected layer (vector map) - O: output layer Convolutional Layers: - Scale: scale (size of p
GMM
- 高斯混合模型，通过EM算法迭代得出，可用于语音识别，图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)
wiener
- 基于维纳滤波的数字图像处理，维纳滤波图像复原算法研究(Wiener filtering, image restoration)
MATLAB
- 求解一类旅行商问题，拥有较好的鲁棒性和全局搜索能力(To resolve a problem of travel strip, and have better steady and the whole search ability)
lmcipher_master
- lmcipher LMCipher：Logistic Map密码 单峰映射密码是使用单峰映射函数的密码概念的简单应用。 要使用INSTALL并编译运行'make'。 结束可执行文件“lmcipher”可用于使用给定的密钥加密文件。 关键越大，安全性越好。(lmcipher ======== LMCipher: Logistic Map Cipher The logistic map cipher is a simple proof of concept of a cipher th
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to