搜索资源列表
gmeans
- gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and
OMP算法：匹配追踪算法
- OMP算法：匹配追踪算法，输入字典和图像，获得图像在字典下的稀疏系数。有部分解释-OMP algorithm: matching pursuit algorithm, the input dictionary and images, access images in the dictionary under the sparse factor. Some explanation
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
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
sparse_representation
- 最热门的稀疏表示的算法，马毅等人在PAMI上发表的文章代码-Sparse representation of the most popular algorithms, Yi Ma, and others published an article in the PAMI code
sparse_decomposition
- 基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared
sba-1.5
- sparse bundle ajustment的源码，可以添加到自己的工程去-sparse bundle ajustment the source, you can add to your project to
img_mo
- Image Denoising using sparse transformation.
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
Sparse-Reconstruction_2.0
- 基于分散近似的稀疏重建算法,用于l1-l2规划，图像去噪，图像压缩等。-sparse reconstruction by separable approximation
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-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-Coding-for-Face-detection
- 基于sparse coding的人脸检测，很好的学习代码-face detection based on sparse coding!
sparse-cnn
- 稀疏深度学习网络 cnn网络稀疏化，C++代码-sparse cnn
Histograms-of-Sparse
- Histograms of Sparse Codes for Object Detection,cvpr文章-Histograms of Sparse Codes for Object Detection
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
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.
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
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