资源列表
Prediction-algorithm-analysis
- 本文重点对预测算法及其在基于JZEE构架BS/模式的辅助决策系统中的应用进行了 研究 -This article focuses on the prediction algorithm based decision support system the JZEE framework BS/mode of application
Statistical-Learning-Theory-Vapnik
- 统计学习理论 Vapnik 本书是对统计学习理论和支持向量机方法的全面、系统、详尽的阐述，是各领域中研究和应用机器学习理论与方法的科研工作者和研究生的重要参考资料。-Statistical learning theory Vapnik book of statistical learning theory and support vector machine method of comprehensive, systematic and detailed exposition of the
pedestrians128x64.tar
- MIT行人检测数据库，包含了924副行人图像。是计算机视觉领域的重要数据库。-MIT pedestrian detection database, contains 924 pedestrian images. Is an important field of computer vision database.
MATLAB-Programming
- 讲述了Matlab绘图和影像处理功能，此外增加了图形用户界面编程、数值计算、符号运算、数字信号处理、优化运算、神经网络分析、系统仿真和模糊系统设计等内容。-Tells Matlab graphics and image processing functions, in addition to increasing the graphical user interface programming, numerical computing, symbolic computing, digital s
filtersTest-3.1-2007_10
- 随书源代码 关于人工智能方面的，还可以，供参考。-With the book on artificial intelligence aspects of the source code, but also for information.
Sparse-Autoencoder
- 神经网络稀疏自编码器的实现；从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。-Sparse neural networks since implementation of the encoder interception of a size of 8* 8 picture small patches given a lot of sheets natural picture
sparseae
- 用matlab代码实现的稀疏自编码器，通过可视化步骤，可以看到稀疏编码提取出来的她特征。- sparse autoencoder written by matlab, through visualization step, you can find the features extracted by sparse coding .
M3LDA
- 多模多实例多类标LDA的代码。参考文献：C.-T. Nguyen, D.-C. Zhan, and Z.-H. Zhou. Multi-modal image annotation with multi-instance multi-label LDA. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 13), Beijing, China, 2013.
cnn_vs2012
- 基于Mnist库的手写数字识别的C++源代码，用卷积神经网络实现-Handwritten numeral recognition Mnist library C++ source code, using convolution neural network
MATLAB神经网络43个案例分析
- 王小川著《matlab神经网络43个案例方法分析》43个神经网络算法的案例程序，官方标准版 可调试运行(Case program of neural network algorithm)
ex5
- 机器学习 5、k - means聚类 开发环境Octave-Programming Exercise 5: K-means Clustering and Principal Component Analysis Machine Learning
53607900Autoencoder_Code
- 用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process)