搜索资源列表
SAE
- 使用TensorFlow实现稀疏自编码神经网络，采用数据mnist(Using TensorFlow to realize sparse atuoencoder neural network, using data MNIST)
fast_sc_r2
- efficient sparse coding, fast feature sign search algorithm, convex optimization
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)
feature_sign
- matlab快速稀疏编码 论文来源 Honglak Lee Alexis Battle Rajat Raina Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305(Feature sign search Efficient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y.
example_scca
- 实现稀疏典型相关分析算法,,matlab 语言实现，仅作为一个示例(sparse CCA, matlab,soft- thresholding..)
Sparse Representation
- This document contains documentation on how to use the Long Term Evolution (LTE) System Level simulator [1] as well as some insight on its structure and the assumptions that were made while developing it. This document relates more on how to actual
Sparse image and signal processing
- 这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明
SparseMatrices
- Matrizes esparsas na linguagem C.(Sparse matrices in C language.)
HIHT
- sparse coding中HIHT的代码(the instance of the sparse coding is HIHT.)
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)
FSR code
- sparse represetation
SparseDC_0.1.17
- 基于环境变化数据下的稀疏差异聚类，对环境发生变化后的细胞基因数据有比较好的作用(Sparse differential clustering based on environmental change data,It has a good effect on the cell gene data after the changes in the environment)
sparse matrix_hash
- 设有n*n 的稀疏矩阵，其稀疏因子为γ = 0.5%，装填因子为α = 0.5，用哈希表作为存储结构。以哈希表作为存储结构，实现稀疏矩阵元素的存取并计算平均查找长度。(The sparse matrix with n*n is sparse factor of gamma = 0.5%, the loading factor is alpha = 0.5, and hash table is used as storage structure. Hash table is used as sto
orthogonal least squares
- The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed b
Sparse
- 稀疏矩阵节点优化 matlab 程序 !!!!!!!(Sparse matrix node optimization matlab code)
Hierarchical sparse priors for regression models
- Sparse regression problems, where it is usually assumed that there are many variables and that the effects of a large subset of variables are negligible, have become increasingly important. This paper describes the construction of hierarchical pri
An improved sparse component analysis Assembly
- 改进的盲源信号分析代码程序集，内有4个例子，对应论文为"Identification of modal parameters using an improved sparse blind source separation".
sparse
- EDA程序： 将spice网表转化为用于计算电路各种参数所需要的相应稀疏矩阵,(EDA program: the spice net table is transformed into the corresponding sparse matrix needed to calculate the various parameters of the circuit.)
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.)