搜索资源列表
CaiDengcode
- 浙大蔡登，何晓飞写的降维，特征选择等机器学习的源码 包括：谱回归，降维，特征选择，主题模型，矩阵分解，稀疏编码，哈希，聚类，主动学习，矩阵学习。 是一个很好的机器学习源码资料。-cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduct
MonIdee
- A routine that performs dictionary learning and sparse coding and makes sure that the reconstruction error is minimal-A routine that performs dictionary learning and sparse coding and makes sure that the reconstruction error is minimal
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.
toolbox-spams_v2.5
- 字典学习及稀疏编码 非常好的工具箱-dictionary learning and sparse coding perfect toolbox!!!!!!!!!!!!
sparse_coding_for_classification
- 简单的sparse coding的小程序，基本可以了解sparse coding的工作过程。-Simple sparse coding small procedures, the basic can understand the working process of sparse coding.
sparsecoding
- 能够实现Sparse Coding，对IMAGES.mat文件进行训练。-To achieve Sparse Coding, carries on the training to the IMAGES.mat file
P1_1-s2.0-S016786551400316X-main
- An Adaptive Bimodal Recognition Framework using Sparse Coding for Face and Ear
SPAMS2014
- 在线学习矩阵分解和稀疏编码,稀疏编码是永远的经典，需要学习稀疏编码的同志可以下载-Online learning and sparse coding matrix decomposition, a sparse coding is eternal classic, and need to learn the comrade of sparse coding can download and see
digital-recognition(opencv)
- 基于稀疏编码的数字识别，使用opencv，实现了简单的稀疏编码。-Digital Recognition Based on Sparse Coding
visualization.tar
- 相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
icml09-deepbeliefnetwork
- 相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
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!
convsc
- fast convolutional sparse coding-fast convolutional sparse coding for image processing
Robust_Compressed_Sensing
- Robust Compressed Sensing and Sparse Coding with the Difference Map
fast_sc_Honglak-Lee(NIPS2007)
- 快速稀疏编码算法和字典学习算法，论文作者源代码-Fast sparse coding algorithm and dictionary learning algorithm, the authors source code
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
SRC
- 稀疏编码能够快速，准确，低代价地表示自然图像的视觉神经方面的能力，把稀疏编码的方法运用到分类中的机器学习方法，就叫做SRC。此处提供SRC算法代码。-Sparse coding has the rapid, accurate and low cost ability to display natural images. The method of sparse coding is applied to the classification of machine learning methods
Hash-data
- 数字水印，利用稀疏编码的哈希算法对图像进行处理后的数据。-watermark, the sparse coding is used to hash the image.Therefore it s very convient to retrieve.
dist_hash_CIRFLT
- 首次利用sparse 技术对图像库进行编码分析。-this is the first time to use the sparse coding to process the image
KSVD-for-denoising
- 主要是基于KSVD的稀疏编码去噪的算法，属于matlab版的，里面有我个人的所有注释！-Mainly based on the sparse coding KSVD denoising algorithm, belong to matlab version, there are my personal all comments!