搜索资源列表
code of transfer learning code
- 基于低秩和稀疏表达的迁移子空间学习算法的代码(A migration subspace learning algorithm based on low rank and sparse representation)
Matlab-Package-Book
- 本书介绍了稀疏和冗余表示,内容分两部分,共十六章。第一部分是稀疏和冗余表示的理论和数值基础,系统、条理地罗列了数据模型的理论基础、相关算法的数值部分(This book introduces the sparse and redundant representation, the content is divided into two parts, a total of sixteen chapters. The first part is the theoretical and numeric
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
form_sparsematrix
- 将对称满阵a转化为稀疏存储：按行存储 寻找上三角阵首个非零元位置，上三角阵非零元所在列，非零元值，对角元值(Convert symmetric full array a into sparse storage: store by line Find the first nonzero element position of the upper triangular array, the nonzero element of the upper triangular array, the no
spams-matlab
- matlab里的稀疏表达工具包 src算法 字典学习工具等等功能(Matlab sparse expression toolkit, SRC algorithm, dictionary learning tools, and so on)
杨建超ScSR
- 杨建超基于稀疏表示的超分辨率方法，很好的算法(Yang Jianchao based on sparse representation of the super-resolution method, a good algorithm)
code
- 稀疏傅立叶算法，matlab实现仿真，对于算法重构用到了混叠同余法和相位解码法，并对SFFT和FFT算法对同一数据的处理时间进行了对比。(Sparse Fourier algorithm, matlab to achieve the simulation, the algorithm used for aliasing congruence and phase decoding method, and the SFFT and FFT algorithm for the same data pr
SRC_code
- 经过CSP 算法之后用于稀疏分类 此分类方法能达到较高的分类正确率(After the CSP algorithm is used for sparse classification, this classification method can achieve higher classification accuracy)
mpfftimage
- 主要适用于做图像处理的稀疏分解程序，基于MP（匹配追踪）算法的稀疏分解程序一例(Mainly used for image processing sparse decomposition procedures, based on MP (matching pursuit) algorithm sparse decomposition procedures, for example)
l1_ls
- l1范数约束的使用最小二乘法计算观测信号的稀疏编码，(L1 norm constraint using the least squares method to calculate the observed signal sparse coding,)
SPAMS
- 先输入数据生成相应的字典，再输入检测信号后得到用字典稀疏表示的结果(First input data, generate the corresponding dictionary, and then input the detection signal to obtain sparse dictionary results)
MP_decomposition
- 基于MP的稀疏分解算法，信号的去燥，重构，应用的是cabor原子(MP based sparse decomposition algorithm, signal drying, reconstruction, the application of Cabor atoms)
spca
- 本程序实现稀疏主成分分析，相关方法在 H. Zou, T. Hastie, and R. Tibshirani的Sparse principal component analysis中有详细介绍(For SPCA, the method introduced in "Sparse principal component analysis" by H. Zou, T. Hastie, and R. Tibshirani)
reconstruction
- 基于接收矩阵的稀疏重构，L1-SVD，阵列信号处理方面(Based on the sparse reconstruction of the received matrices, L1-SVD, array signal processing is presented)
sfft-0.1.0
- 采用MATLAB编程实现二分查找法的稀疏傅立叶变换算法。研究算法参数变化对信号频谱的影响，并对特定的宽带跳频信号进行稀疏傅立叶变换处理，得出相应的频谱，并与快速离散傅立叶变换的结果进行比较。(Recurrence of sparse Fourier transform)
SparseFusion_2014-12-03
- 基于稀疏表示的多光谱图像融合源代码，用于pansharpening(sparse-based mutispectral image fusion)
sparse_decomposition
- 利用匹配追踪对信号进行稀疏分解，得到其稀疏表示形式(The use of matching pursuit for sparse decomposition of the signals, by their sparse representation)
NCSR
- 中心稀疏表达去除高斯噪声，iccv会议论文源码，内含文献，原文题目Centralized Sparse Representation for Image Restoration(Centralized Sparse Representation for Image Restoration)
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
深度学习模型（卷积神经网络，深信度网络和堆栈稀疏自动编码器）
- 深度学习网络，包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等