搜索资源列表
OWLQN
- source codes for "Orthant-Wise Limited-memory Quasi-Newton Optimizer for L1-regularized Objectives"
RDA
- 用matlab语言写的RDA(Regularized descriminant analysis)算法,用于模式分类-Matlab language used to write the RDA (Regularized descriminant analysis) algorithm for pattern classification
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial
Imageprocessing
- 包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。-It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: dem
RegularizedLeastSquares
- 对于一类非最小二乘问题，采用多步线性化方法求解，在保证结果精度的前提下提高了计算速度-For a class of non-least-squares problem, using multi-step linearization method, in ensuring the accuracy of the premise of the results improve the computing speed
Tikonov_Regularized_Solutions_For_1D_Shaw_Problem.
- 1-D Shaw Problems: Finds the Tikhonov regularized solutions (L = I) for a variety of choices for alpha and generates a waterfall plot of the results
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear S
rwtwinxp
- The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly wi
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial mas
NonnegJune2009
- 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-
l1_ls
- 最小化l1范数的Matlab代码。求解模型为： min lambda*|x|_1+||A*x-y||_2。其中，|x|_1表示x的1-范数，||*||_2表示2-范数。该模型在稀疏成分分析、压缩传感器等领域有广泛的用途。- l1-Regularized Least Squares Problem Solver l1_ls solves problems of the following form:
CONTIN_FORAN
- 第一类线性代数和线性积分方程的正则化解法 ，包括病态问题的解法，适用于windows和linux-A portable Fortran IV program for the regularized solution of linear algebraic and linear integral equation of the first kind,with options for linear equality and lnequa
l1_ls_matlab.tar
- ℓ 1 -正则最小二乘问题使用matlab程序实现-Large-Scale ℓ 1-Regularized Least Squares Problems use matlab to implement
Regularized_Newton_Residual_algorithm
- 一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。-The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-proc
Yap249-01
- Blind Adaptive Detection for CDMA Systems Based on Regularized Independent Component Analysis
hrm
- A Hessian Regularized Nonlinear Time Series Model
romp
- Regularized Orthogonal Matching Pursuit是正交匹配追踪算法的优化，可以用于稀疏信号的恢复以及压缩感知等-Regularized Orthogonal Matching Pursuit
l1_ls_matlab_(new-2008)
- l1_ls 是一个目前最好的求解稀疏矩阵方程解的算法之一，这是作者发布的最新 MATLAB 源代码。-l1_ls: A Matlab solver for l1-regularized least squares problems. BETA version, May 10 2008 COPYRIGHT (c) 2007 Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd.
Adaptivelyregularizedconstrainedtotalleast-squares
- 自适应正则化的最小二乘图像复原算法，基于一定的参考价值-Adaptive regularized least squares image restoration algorithm, based on some value
regu
- 本工具包给出了反问题计算常用的正则化参数确定，求正则化解等方法。非常有效，是难得的一款好软件包-The kit gives the calculation of inverse problem regularization parameter commonly used to determine, find the regularized solution and other methods. Very effective, a goo