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OlshausenField1997.是过完备基的稀疏编码算法
- 是过完备基的稀疏编码算法，对于过完备基有很大帮助。,Is over-complete dictionary based sparse coding algorithm, for over-complete base of much help.
RSC
- 这是一种基于稀释的人脸识别算法。这个算法能够有效的处理脸部遮挡问题。-Robust Sparse Coding for Face Recognition
spams-matlab-v2.2.tar
- 基于字典学习的稀疏编码，最新的版本，可以用于 window Linux和MacOs-Sparse Coding on Dictionary Learning，the new version. it can be applied to the windows, Linux and Mac
KSVD
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.
Sparse-Coding-by-Elad
- Elad写的关于稀疏理论的书，内容丰富，适合初学稀疏理论的同学，不容错过额-a book about sparse representation of signal and its practice
Matlab-Package-Sparse
- 这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
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
Sparse-Code
- 几种经典的稀疏编码算法的C语言实现，非常实用，有助于理解算法-Several classic sparse coding algorithm C language, very practical help to understand algorithm
robust sparse classification code
- 本matlab程序适用于论文Robust Sparse Coding for Face Recognition
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
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.
ICCV-Tutorial-on-Sparse-Coding
- ICCV会议的一个关于稀疏表示的教程，里面包含较为详细的理论知识，大牛的讲解让人通俗易懂-A ICCV meeting on tutorial sparse representation, which contains more detailed theoretical knowledge, to explain the straightaway
SRR-based-on-spare-coding
- 基于稀疏表示的超分辨率图像重建硕士论文，一共六篇，比较全面的介绍了基于稀疏表示的超分辨重建的方法以及详细的实现步骤，是比较好的入门资料-the master s thesis of Super-resolution image reconstruction based on sparse coding , a total of six, a more comprehensive descr iption of the super-resolution reconstruction method
Sparse Concept Coding for Visual Analysis
- Sparse Concept Coding for Visual Analysis
CVPR08-SR
- 利用稀疏表示原理来进行单幅影像超分辨重建(use sparse representation to single image super resolution)
BPFA_Denoising
- 利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)
LRT_Code
- 目标追踪。低秩稀疏编码学习，稀疏编码，sift(virsual tracking,Target tracking,,low rank sparse coding learning, sparse coding,,sift features)
Desktop
- 压缩感知，在线字典学习，稀疏编码，矩阵优化(Compression perception, online dictionary learning, sparse coding, matrix optimization)
ScSR
- 杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)
sparse encoding
- 稀疏编码的例程，需要EEG数据。 包括匹配追踪和KSVD算法。