搜索资源列表
2D_Elastic
- 地球物理反问题的反演的正则化方法及弹性波正则化的应用-inversion algorithms
Tikhonov
- 地球物理反问题中带约束的Tikhonov正则化方法的应用-applications of constrained regularization method
pattern-recognition
- 模式识别的内容，包括模式识别的基本概念、模式识别方法及应用。具体的内容包括：正则化网络、Bayes决策理论、分类器组合、统计学习理论、概率密度估计、非监督学习方法-Pattern recognition, including the basic concepts of pattern recognition, pattern recognition methods and applications.Specific content, i
lars
- 解L1正则化回归问题（lasso）的Lars算法 -a classic algorithm for lasso called LARs——Least Angle Regression
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
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
tsvd_fft
- 基于fft的截断奇异值分解 （TSVD）正则化方法-TSVD: Truncated Singular Value Decomposition: TSVD
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》
Bayes-in-BP(code)
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Use Bayes to train BP network
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
paper1000
- 用于压缩感知信号重建的正则化自适应匹配追踪算法.pdf-Regularized Adaptive Matching Pursuit Algorithm for Signal Reconstruction Based on Compressive Sensing
L-0.5-regularization
- L1/2正则化，可用于图像恢复，信号重建，聚类分析-L 0.5 regularization
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
HEM
- 采用自适应混合误差模型的正则化超分辨率算法，正则项采用BTV，参考文献：AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SUPER-RESOLUTION -AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SR
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
YALL1-v1.4
- 用交替方向乘子法来求解L1正则化问题、BP问题、BPDN问题的一种算法-An algorithm for solving the L1 regularized problem, BP issue BPDN problem with alternating direction multiplier method
l1_ls.m
- l1_ls正则化算法可以用于图像重建，矩阵迭代求解运算，普遍优于其他同类算法。-li_ls
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