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cross_list
- 数据结构中的稀疏矩阵十字链表类，代码注释齐全，可供初学者学习使用。-Dish sparse matrix data structure Cross Chain category, code complete notes for beginners to learn to use.
Polynomia-Calculator
- 稀疏多项式计算器 通过链表的数据结构，实现：创建多项式、显示多项式、复制多项式、销毁多项式、清空多项式、多项式相加、多项式相减、多项式求值等功能。-Sparse polynomial calculator through the list data structure to achieve: Create polynomials, polynomial display, copy polynomials, polynomial destroyed, empty polynomials, po
Lecture_CS_LWS_Final-Matlab
- 陆吾生教授短期课程“压缩感知方法及其在稀疏信号和图像处理中的应用”资料，使用的源码，有参考价值-Professor Lu Wusheng Short Course " compressed sensing method and the sparse signal and image processing applications," the source data, the use of a reference value
Unitary--ESPRIT
- 新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。-The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimi
RR4
- 大区域稀疏控制条件下的多条带InSAR数据的联合定标研究Large area of sparse control under the conditions of multi band InSAR data joint calibration of _ Zhang Wei-Large area of sparse control under the conditions of multi band InSAR data joint calibration of _ Zhang Wei
OrthogonalListMatrix
- 十字链表实现的稀疏矩阵，C++编写，使用模板完成，适应各种自定义数据类型-Orthogonal List sparse matrix, C++ writing, using a template is complete, customized to adapt to a variety of data types
san-yuan-zu-biaoshi-xishujuzhen
- 三元组表示稀疏矩阵。数据结构课程作业，注释完全，简单易懂，调试通过。-Triples represent sparse matrix. Data structure course assignments, notes completely, easy to understand, debug through.
Exp2
- 这是清华大学数据与算法课程的实验作业。题目为：稀疏矩阵的存储与计算。-This is the experimental data and algorithms operating Tsinghua University courses. Topics are: storage and computing sparse matrix.
Chap05
- 自己编写的数据结构中的稀疏矩阵算法和二维指针的基本应用，在VC中调试通过。-I have written in the data structure pointer sparse matrix algorithms and two-dimensional basic application, the VC debugging.
Matrix_Sparse
- 设计、实现稀疏矩阵的数据结构，并能修改矩阵中的元素值，对矩阵进行加法、乘法运算。-Design, implementation, sparse matrix data structure, and can modify the matrix element values of matrix addition, multiplication.
lecture-notes
- 《压缩感知与稀疏恢复》课程是 Justin Romberg教授访问清华大学期间讲授的短期课程。该资料为其讲课的课件。-"Compressed sensing and sparse recovery" is taught during the visit Tsinghua University professor Justin Romberg short courses. The data for lectures courseware.
mmt_v0.12
- The package can be used to do research on data sparse pre
Fast_SC
- 非常快速的稀疏编码求解过程。可以用于各种类型的数据-fast solving the problem of sparse coding.You can apply sparse coding to any type of general data.
power-flow-based-on-BB-plan
- C语言编写P-Q分解法潮流计算程序，基于BB方案，且该程序采用基于稀疏技术的因子表法进行迭代求解，以降低存储量，提高运算速度。附有IEEE5,14,30,39,118节点系统数据及潮流结果，已验证程序的可行性。-C language PQ decomposition method flow calculation procedures, based on BB plan and carry out the program uses an iterative solution technique
RandomSampleConsensus
- 在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云，通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大，叫稀疏点云；而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集，叫密集点云。-Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as po
BitSegmentation
- 在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云，通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大，叫稀疏点云；而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集，叫密集点云。-Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as po
visualization.tar
- 相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
BUC
- 数据挖掘算法BUC，计算稀疏冰山立方体的 C++实现-Data mining algorithms BUC, computing sparse iceberg cube C++ realization
source
- 设计、实现稀疏矩阵的数据结构 (存储结构和逻辑结构)，并且稀疏矩阵要有以下的函数接口（功能）。 1. 能够修改 (访问) 矩阵中元素的值 2. 矩阵的转置运算得到一个新矩阵 3. 两个矩阵的加法运算得到一个新矩阵 4. 两个矩阵的乘法运算得到一个新矩阵 -Design, implementation sparse matrix data structure (memory and logical structures), and sparse matrix have
RVM_papers
- A Hierarchical Latent Variable Model for Data Visualization.pdf Bayesian Image Super-Resolution.pdf Bayesian Inference_An Introduction to Principles and Practice in Machine Learning.pdf Fast Marginal Likehood Maximisation for Sparse Bayesian Mo