搜索资源列表
nnLeastR
- Least Squares Loss with the L1-norm Regularization subject to non-negative constraint
nnLogisticR
- Logistic Loss with the L1-norm Regularization subject to non-negative constraint
LeastC
- Least Squares Loss with the L1 ball constraint (also known as Lasso)
SolveHomotopy
- SolveHomotopy.m- l1 minimization Algorithm-SolveHomotopy.m-l1 minimization Algorithm
shuzifenwo-gaishu
- 本规范所说的空中接口是指UE和网络之间的Uu接口，由L1、L2和L3组成。L1是基于TD-SCDMA技术的，3GPP TS 25.200系列规范对L1进行了详细描述；L2和L3与UTRA TDD 模式相同, 相应的描述见3GPP TS 25.300和3GPP 25.400系列规范。 -The air interface standard is referred to the network between the UE and the Uu interface, the L1, L2 and L
BIHT-l1
- 为了解决二进制CS而编写的算法，使用了用l1范数最小化-an algorithm for binary CS，use l1 norm
L1-SVD
- L1-SVD代码绝对绝无仅有！跟作者没要来，只有自己写了，有错误的话请联系作者-L1-SVD code is absolutely unique! Contact the author did not want to come, only to write their own error, then please contact the author
L1
- 基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。-Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.
L1-Ls
- 很经典的L1范数算法，可以用于对优化算法的改进，有效加快运算速度和优化精度！-Classic L1 norm algorithm, the optimization algorithm can be used effectively to accelerate the speed of operation, and optimization precision!
l1-ls-A-Matlab-Solver
- 求解L1范数最优化的一个程序包，里面包括源码、说明文档及相应论文-l1 ls A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems
L1-Homotopy-ALM
- L1 minimzation for finding sparse approximation
L1-APG_release
- 最早将稀疏编码技术引入视频图像跟踪的L1跟踪器，2012年求解稀疏编码算法采用了新的计算方法。-The earliest will be sparse coding techniques L1 tracker, the introduction of the video image tracking the to solving sparse coding algorithm using a new calculation method in 2012.
Duality-Splitting-L1-TV
- 用对偶分裂算法处理乘性噪声如盐椒噪声（L1+TV），参数由电脑自动选取，matlab程序-A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice
l1
- 用稀疏表示人脸识别，其中在求解l1范数的部分的matlab源码。-Sparse representation for face recognition, solving l1 norm matlab source.
Approximation-method--BPs-l1-norm
- 基于BP的l1范数逼近法-Approximation method based on BP s l1 norm
l1-norm-recovery
- the recovery of the 2D SAR image with l1-norm minimization
l1-algorithm
- 该软件包包含了合并执行在MATLAB9升-1的最小化算法。每个函数都使用一组参数是一致的（如停止准则和公差）与我们的基准脚本接口。 正交匹配追踪：SolveOMP.m 原对偶内点法：SolvePDIPA.m 梯度投影：SolveL1LS.m 同伦：SolveHomotopy.m 迭代阈值：SolveSpaRSA.m 近梯度：SolveFISTA.m TFOCS：SolveTFOCS.m SesopPCD：SolveSesopPCD.m 原始增强拉格朗日乘子：S
L1
- L1 Normalization for quadratic regularization
l1 minimization
- minimization algorithm for cs recovery
l1-Norm-Minimization
- 该文章介绍了L1范数最小化问题稀疏求解的快速算法-This article describes a quick way L1 norm minimization problem solving sparse