搜索资源列表
block sparse
- block sparse资料,可以对结构稀疏学习有帮助
CVPR-ScSPM
- 有关线性动态系统的稀疏编码和字典学习的Matlab源代码(Matlab source code about Sparse Coding and Dictionary Learning with Linear Dynamical Systems)
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)
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)
Power Flow
- 适用于电力系统潮流计算的MATLAB源程序,可用于潮流计算学习(A program based on sparse matrix for power flow)
attentionFactorizaitonMachine
- Attension FM的理论论文,可用于高度稀疏数据场景,并且具有线性的计算复杂度(Factorization Machines (FMs) are a supervised learning approach that enhances the linear regres- sion model by incorporating the second-order fea- ture interactions)
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
SparseLab200-Core
- 稀疏重构工具包,对稀疏重构的学习有很大帮助(SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equations, particularly underdetermined systems.)
Sparse-Autoencoder-master
- python写的稀疏矩阵自动编码,包含.mat文件,代码文件。(Sparse matrix written in python automatically encoded)
相关向量机
- 稀疏贝叶斯学习中相关向量机学习程序资料,一起学习(In sparse Bayesian learning, correlation vector machine learning program data, learning together)
rcqs
- 实现稀疏矩阵的加法,减法,乘法,还有转置,以及用两种方法即三元组顺序表和矩阵形式两种输入,()
jtjall
- 稀疏矩阵分解的最好方法之一,LU分解,快速高效的分解矩阵()
411852
- 稀疏矩阵采用三元组表示,1求两个具有相同行列数的稀疏矩阵A和B的相加矩阵C,并输出C,2求出C的转置矩阵D,输出D()
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
块稀疏贝叶斯学习快速算法
- 块稀疏贝叶斯学习快速算法,基于论文快速块稀疏贝叶斯学习算法的理论与应用
稀疏贝叶斯
- 基于稀疏贝叶斯学习的稀疏向量恢复算法,里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)
FDDL
- 基于Fisher字典学习的稀疏表示分类算法。(Sparse representation classification algorithm based on Fisher dictionary learning.)
基于组稀疏约束的图像去雨
- 在matlab上基于组稀疏表示的图像去雨,在字典学习模型上做的。
SBL
- 基于稀疏贝叶斯学习的窄带信号波达方向估计,实测有用,亲测有效!(Based on the sparse Bayesian learning, the narrow-band signal direction estimation is useful, and the pro-test is effective!)