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Improved-non-negative-sparse-coding-algorithm
- 改进的非负稀疏编码图像基学习算法Improved non-negative sparse coding algorithm for image-based Learning-Improved non-negative sparse coding algorithm for image-based Learning
CSzhongsu
- 该文对压缩感知理论进行了综述，对压缩感知的稀疏表示、观测矩阵、编码、解码和有待研究的关键问题进行了综述-This paper summarizes the theory of compressed sensing, sparse representation of compressed sensing, observation matrix, encoding, decoding and the key issues to be examined were reviewed
CVPR09-ScSPM
- 稀疏编码matlab代码Linear Spatial Pyramid Matching Using Sparse Coding-sparse coding (matlab code)
SAE
- 深度学习中稀疏编码的C语言程序,是根据斯坦福深度学习的教程MATLAB的代码改写的-Depth learning sparse coding in C language program is based on the Stanford deep learning tutorial MATLAB code rewrite
Exercise1-Sparse-Autoencoder
- 网址：http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程，这个是稀疏编码的的练习，可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
Fast_SC
- 非常快速的稀疏编码求解过程。可以用于各种类型的数据-fast solving the problem of sparse coding.You can apply sparse coding to any type of general data.
Sparse-Embedding
- 该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
TOTO_NeuralNetwork_v2
- 全手工Java书写的完全面向对象结构的人工神经网络，现版本，仅实现BP神经网络以及普通梯度下降法，但结构精炼，易于扩展，本人正在书写稀疏自编码用于图像处理，但本版本尚未涵盖。将在以后的版本中上传。（附带CSV输入）-Neural Network Programmed by JAVA, the key contribution of this Project is 100 OO based, readers can easily figure out how to add more things
MNIST_theano
- 利用theano库完成MNIST手写识别，包括稀疏自编码机，多层感知机，卷积神经网络-using the theano to complete the handwriting congnization in MNIST ,include Denoising AutoEncoder,MLP,Convolution Neutral Network.
sparse_coding_exercise
- 吴恩达UFLDL教程中关于稀疏编码的练习，很好很强大！-Andrew Ng UFLDL tutorial on sparse coding practice, very very powerful!
using-GA-in-antenna-array
- 提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic
Sparse-coding-package-
- 关于稀疏编码的matlab代码包，里面有先关说明，以及引用出处。-sparse coding matlab code
stackedAE
- 堆栈自编码，通过两个稀疏自编码的堆叠和softmax分类模型，实现手写体的分类。-Stack self-encoding, since encoding by two sparse stack and softmax classification model to classify handwriting.
Sparse-Autoencoder
- 稀疏自编码是构成堆栈式自编码的基础，通过稀疏自编码可以提取图像的边缘特征。-Sparse coding constitute the basis of the stack self-encoded by sparse coding can be extracted the edge feature of the image.
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
sparse-autoencoding
- UFLDL的稀疏自编码样例程序.使用matlab语言编写-sparse auto-encoding program using matlab in UFLDL
xishu
- 此为稀疏编码源代码，希望能对稀疏编码初学者有好的帮助-Hoping to sparse coding beginners have a good help
Sparse-Autoencoder
- 稀疏编码算法是一种无监督学习方法，它用来寻找一组“超完备”基向量来更高效地表示样本数据-2006 A fast learning algorithm for deep belief nets
Autoencoder-Code
- 稀疏编码的概念来自于神经生物学。生物学家提出，哺乳类动物在长期的进化中，生成了能够快速，准确，低代价地表示自然图像的视觉神经方面的能力。我们直观地可以想象，我们的眼睛每看到的一副画面都是上亿像素的，而每一副图像我们都只用很少的代价重建与存储。我们把它叫做稀疏编码，即Sparse Coding.本文提供稀疏编码的一个实例-Sparse Coding.
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 .