搜索资源列表
CANC
- 估计位场数据局部趋势的简单程序 利用线性回归法估计局部梯度依据数据离散，估计伴随误差-local trend data the simple procedure using linear regression method to estimate local gradient based on discrete data, With the estimated error
rubostaffineregressionregress.08.02.tar
- The motion within an image region is modeled using an affine transformation. Affine motion parameters are estimated using a coarse-to-fine gradient-based method. The approach is implemented using a robust M-estimation technique to make the computatio
image inpainting
- implementation of "Region Filling and Object Removal by Exemplar-Based Image Inpainting" and "Gradient based image completion by solving the Poisson equation"
基于边缘图像的视频错误隐藏算法
- 基于边缘图像的视频错误隐藏算法和基于梯度图像的视频错误隐藏算法,Based on the edge of the image of video error concealment algorithms and gradient-based images of video error concealment algorithm
gradient.rar
- 本程序实现了基于梯度金字塔的图像融合算法，效果还不错，可以参考一下。,This procedure based on the gradient pyramid implementation of image fusion algorithms, the effect was not bad, you can reference.
Inpainting
- implementation of the inpainting algorithm in the papers "Region Filling and Object Removal by Exemplar-Based Image Inpainting" and "Gradient based image completion by solving the Poisson equation"
Seven-RBF_NN--code
- 七个RBF神经网络的源代码:基于梯度法、OLS 、聚类、k均值聚类、函数逼近的RBF 网设计算法，及预测模型 -Seven RBF neural network source code: gradient-based method, OLS, clustering, k-means clustering, function approximation of the RBF network design algorithms, and predictive models
w-eag
- “Gradient based image transition region extraction and segmentation”（基于梯度的过渡区提取与分割）MatLAB 源码。-MatLAB code of “Gradient based image transition region extraction and segmentation”。
HoG.rar
- 经典HOG算法，基于梯度的直方图提取算法，用于人体检测十分有效！,HOG classic algorithms, gradient-based histogram extraction algorithms, used in human testing is very effective!
An.Image.Mosaic.Algorithm.Based.on.Matching.Shape.
- 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对 其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的 结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
Gradient
- 基于空间梯度直方图的行人检测算法,基于空间梯度直方图的行人检测算法-Gradient histogram space-based pedestrian detection algorithm
RBF
- 基于梯度法编写的RBF神经网络程序，实现对输入数据的逼近-Gradient method based on the preparation process of the RBF neural network to achieve the approximation of the input data
Matlabautofocus
- 这是我毕设做自动调焦仿真实验时，编写的自动调焦函数的Matlab代码，把基于灰度梯度的调焦函数都仿真了-This is what I do complete auto-focus based simulation experiments, the preparation of the automatic focusing function of the Matlab code, the gray gradient-based simulation of the focusing function
grade
- 设有一基于格型梯度算法的预测器，其输入 由的AR模型产生，本程序可以得出自适应预测器的曲线-There is a gradient algorithm based on the lattice of the predictor, the input generated by the AR model, the procedure can be drawn Curve Adaptive Predictor
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 masking with an isotropic kern
VoiceSeperationFastICA
- 两路语音信号混合及解混的基于自然梯度的极大似然算法MATLAB仿真程序-Two-way voice signals mixed and mixed solution of the natural gradient-based maximum likelihood algorithm of the MATLAB simulation program
gradient-basededgedetectionalgorithm
- 基于梯度幅值的自适应边缘检测算法在VC++下的实现-Amplitude of the adaptive gradient-based edge detection algorithm in VC++ under the realization of
Analytical-Gradient-Based-Optimization-Technique.r
- 应用共轭梯度法综合优化交叉耦合滤波器。参考文献<Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique >Smain Amari-Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique _
2008-JMD-Khajavirad-Michalek-Gradient-Based-Decom
- Article on gradient optimization method.
conjugate gradient
- 基于Armijo-Goldstein准则的用matlab实现的共轭梯度优化方法，个人编写，适合优化方法入门练习。(Based on the Armijo-Goldstein criterion, the conjugate gradient optimization method implemented by Matlab is written by individual, suitable for the introduction of the optimization method)