搜索资源列表
corner
- 该程序找到了使用L曲线算法的拐点，是正则化程序中，寻求正则化参数的一种比较好的方法。CORNER Find corner of discrete L-curve via adaptive pruning algorithm.-The program found the algorithm using the L-curve inflection point, is the regularization process, the regularization parameter for a bet
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
Bolasso-feature-selection-prediction
- 这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The main problem for high-latitude fe
trainlm
- 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）-Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)
regu
- 正则化化技术处理，l_curve方法和gcv方法选择参数，进行求解，得到问题的最解-Regularization of technical processing, l_curve methods and gcv method to select parameters, is solved by the solutions of the problem
1
- 正则化算法工具箱 多种方法实现 有相关注释文件-regulation tools
tikl_diff1
- 应用吉洪诺夫正则化的方法去求数值微分的求导问题-failed to translate
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, including: Regularization Netwo
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
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
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
function1111
- 一种基于TV正则化的自适应图像去模糊方法：最小优化算法-Based on TV regularization adaptive image deblurring method: Minimal Optimization
demoBagSVM
- 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The
gcv
- 广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。-Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.
BP_LM
- 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 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
DRLSE_v0
- 本程序包采用距离正则化的水平集的方法，对多种图像进行处理和分割，实验结果表明，分割结果比传统水平集方法好很多-This package uses the distance regularized level set method, a variety of image processing and segmentation, experimental results show that the segmentation result is much better than the traditi
beiyesizhengzehua
- 采用贝叶斯正则化算法提高 BP 网络的推广能力,采用两种训练方法-Bayesian regularization algorithm to improve the generalization ability of BP network, using two training methods
code
- 自适应选择正则化参数和范数的非盲图像复原方法，效果真心不错。-Select the non-blind adaptive image restoration method parameters and norm regularization, the effect really good.
GISA
- 一种求解lp范数正则化约束的稀疏表示方法-Sparse representation method for solving LP norm regularization constraint