搜索资源列表
LogisticR
- Logistic Loss with the L1-norm Regularization
l1magic-1.1
- L1算法稀疏重构算法的matlab工具箱-L1 sparse reconstruction algorithm matlab toolbox
L1
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
l1normeq
- 满足Ax=b的条件下，l1约束条件下，求解稀疏解问题。-l1norm constraint，subject to Ax=b，sparisty problem。
NESTA_v1.0
- NESTA，非常好的优化算法,The algorithm uses two ideas due to Yurii Nesterov. The first idea is an accelerated convergence scheme for first-order methods, giving the optimal convergence rate for this class of problems. The second idea is a smoothing technique t
l1benchmark
- l1benchmark 这个算法包提供了十种求解带稀疏约束的矩阵方程 AX=b 的 MATLAB 实现代码，并提供了一个比较各种算法求解结果的演示。-An L1-norm minimization benchmark package, which contains an implementation of ten L1-norm minimization algorithms in MATLAB. The package also provides a test scr ipt for comp
C51-L1
- C51单片机教程L1,以及L1的例子源代码.-C51 Singlechip Guide L1, and L1 example source code.
spgl1-1.6
- Spectral Projected L1 solver
l1magic
- This package contains code for solving seven optimization problems. -The main directory contains MATLAB m-files which contain simple examples for each of the recovery problems. They illustrate how the code should be used (it is fairly straightfor
l1magic-1.1.tar
- l1-magic Compressive Sensing 简单工具包-l1-magic Compressive Sensing
l1magic
- L1 minimization and compressive sensing
project_onto_simplex
- l1范数的投影源码,用于高维的机器学习问题-L1 projection source codes
irntv
- TV正则化去卷积the Iteratively Reweighted Norm algorithm for solving the generalized TV functional, which includes the L2-TV and and L1-TV problems-An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals
CS
- L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, and are suitable for large-scale problems
l1_ls_matlab
- 基于BP算法的 求解最优L1范数的程序和文章-BP algorithm based on L1 norm for solving optimal procedures and articles
l1magic-1.1-(new)
- L1-magic 是一个求解矩阵方程稀疏解的工具包，这是原作者发布的最新 MATLAB 源代码。- l1 magic (new) -------- This package contains code for solving seven optimization problems. A detailed explanation is given in the file l1magic.pdf.
l1benchmark
- sparse algorithm to solve l1 optimization
L1L2Hybrid
- AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SUPER-RESOLUTION
rw_l1
- 用reweighted L1优化进行压缩感知的信号重建算法-Optimized by reweighted L1 signal is compressed sensing reconstruction algorithm
LeastR
- LeastR Least Squares Loss with the L1-norm Regularization-Least Squares Loss with the L1-norm Regularization