搜索资源列表
111
- 走时层析成像的迭代Tikhonov正则化反演研究 走时层析成像的迭代Tikhonov正则化反演研究-Go tomography by iterative Tikhonov regularization inversion study of travel time tomography by iterative Tikhonov regularization inversion of
TVMMcode
- 基于TV正则化算法的图像去噪重构，包含有论文说明，及代码实例-Reconstruction based on TV regularization algorithm for image denoising，containing the paper descr iption, and examples
TV
- Total Variation (TV) Regularization Method
regu
- 正则化算法的matlab程序，采用Tiknov标准方法计算反问题的程序-Regularization algorithm matlab program, using the program Tiknov standard method to calculate the inverse problem
na4-matlab7
- 《离散反问题》中的各类正则化matlab程序- Matlab package Regularization tools for the book 《discrete inverse problems》
breggularizeea
- 一种基于正则化转置的LDA matlab源代代码，能应用在人脸识别中，详细说明见readme -A transpose on behalf of the LDA matlab source code based on regularization, can be applied in face recognition, a detailed descr iption see the readme
CSR_jp
- Cross-scale regularization
tnorm
- Tnorm利用大量冒充者模型来得到均值u和方差δ，再用这两个数据带入到score =(score-u)/δ得到规整化之后的分数。这样使得结果更加合理。-Tnorm impostor model to get mean u and variance δ, then these two data into the score ' = (score-u)/δ score after regularization. This makes the results more reasonable.
ztnorm
- 对于说话人语音识别得到的分数，先进行2次znorm规整，再做一次tnorm的规整化，使得分数更加合理。-Speaker voice recognition score, the first 2 times znorm structured, do it again regularization tnorm, more reasonable scores.
NFNN_out
- 计算正则化模糊神经网络的输出值，分为五层，包括正则化，模糊化和输出层，内有注释。-Output value calculated Regularization Fuzzy Neural Network, is divided into five layers, including regularization, blurring and output layer, within a comment
multi-kernel-path-1.1
- Computing regularization paths for learning multiple kernels另一个多核学习算法 可用于多类分类 目标检测-Computing regularization paths for learning multiple kernels The other multicore learning algorithm for multi-class classification target detection
TIP_ASDS_IR
- 基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理，试过可以用-Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing
SALSA_v2.0
- 应用交替方向乘子法来求解L1正则化问题、BP问题、LASSO问题的一种算法，-Application alternating direction multiplier method to solve L1 regularization problem, BP issue LASSO problem an algorithm
AMF
- 自适应中值滤波-Chan R H, Ho C W, Nikolova M. Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization[J]. IEEE Trans. Image Process, 2005, 14(10): 1479～1485. 该文献中自适应中值滤波算法代码-matlab code of adpative median filter
adaptive_regularization
- 代码给出了数字图像处理图像复原运算方法中的自适应滤波、正则化滤波、盲去卷积滤波等滤波方法的实现过程，经matlab调试运行成功，效果明显-Code gives a computing method of digital image processing image restoration, adaptive filtering, regularization filter, blind go convolution filtering and other filtering methods to
FFD4D
- 一种基于正则化总变图像处理方法，很好，值得研究此方面的朋友研究-Based on the image processing method for total variation regularization, good, worthy of study in this regard friends
Perona_Malik
- 基于各向异性扩散的非线性正则化Perona-Malik模型,实现对图像的平滑滤波-Regularization based on nonlinear anisotropic diffusion Perona-Malik model, image smoothing filter
xiaoyouxi
- 程序特点： ·采用PHP编写而成 占用空间小，建站成本低，无需等待 ，马上就可以拥有海量数据 ·程序采用UICMS核心上开发.. 请先下载核心系统方可使用 1.可选择入库方便全局调用 加强SEO优化 空间需MYSQL支持 2.模板自定义 3.优化正则法 同步目标站 4.程序自动识别安装路径，只需轻轻一点，即可安装完成 5.缓存系统 一个页面只需读取远程数据一次 缓存在服务器内 减少服务器压力 6.伪原创和过滤关键敏感词功能 7.一键采集 同步资料
1
- thine-plate-spline Features: (1) support arbitrary control points (2) allow regularization (3) estimate the warp parameters from corresponding pairs
TV
- 在图像恢复技术中，总变分最小化是一种以保存图像细节为目标的规整化复原方法。本算法基于总变分最小化的思想，采取交替最小化的精确迭代策略来对图像和点扩展函数同时进行恢复。实验表明，该算法在噪声水平较高的情况下仍能对图像进行稳健的恢复。-Total variation image restoration techniques is a goal to save the image detail regularization recovery method. Algorithm based on tot