搜索资源列表
matlab.imnoise.conv2
- 数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)-neighborhood Digital Image Denoising the average realized (including M documents and images)
nca
- 功能为neighborhood components analysis，a quick matlab implementation of NCA (see Goldberger et al, NIPS04). -err
LNP_Coe
- Linear Neighborhood Propagation 系数求解-Linear Neighborhood Propagation coefficients
clsf_dpd_fast
- Neighborhood rough set based feature evaluation and reduction
clsf_dpd_fast2
- Neighborhood rough set based feature evaluation and reduction
clsf_dpd_fast_3
- Neighborhood rough set based feature evaluation and reduction
NRS_FW_FS
- Neighborhood rough set based heterogeneous feature subset selection
Neighborhood
- This code will allow you to run neighborhood analysis of an image.
denoise
- 该程序采用基于邻域阈值分类的小波变换去噪算法，比传统的去噪算法效果更好，对理解小波变换去噪算法有很大帮助-The program neighborhood-based classification threshold wavelet de-noising algorithm, than the traditional de-noising algorithm is better to understand the wavelet tra
METSlib
- METSlib提供基本的启发式算法框架，包括局部搜索及其变体，模拟退火和禁忌搜索等。 -METSlib implements the basics of some metaheuristics algorithm: * Random Restart Local Search * Variable Neighborhood Search * Iterated Local Search *
network-neighborhood
- 用VC代码查找局域网内的计算机，类似网络邻居的功能-VC code to find local area network using a computer, similar to the function of network neighborhood
roughset
- 粗糙集matlab算法，有属性约简，值约简，规则生成等多种算法。-Neighborhood rough set based feature evaluation and reduction
GRASP
- 贪婪随机自适应搜索法(GRASP)，使用随机化的最小最小完成时间算法来产生问题的初始解,再通过变邻域下降算法来改进这个解。-Greedy randomized adaptive search method (GRASP), the minimum use of randomized algorithm to generate the minimum completion time of the initial solutions of
neighborhood-selection-for-isomap
- 2011年模式识别快讯上的文章，讲述了一种ISOMAP降维中选择邻域的方法。-News on Pattern Recognition 2011, an article about a ISOMAP dimension reduction method of selecting the neighborhood.
neighborhood-classifier
- neighborhood classifier -neighborhood classifierneighborhood classifier
Matching-neighborhood-difference-
- 采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感-Matching based on neighborhood difference feature
rough-set-and-neighborhood-rough-set
- 关于粗糙集和邻域粗糙集的基本理论和程序算例 本文在原始的邻域粗糙集约简程序基础上做了修改。 压缩文件包括：3个m文件，一个mat文件，一个pdf文档。 这个文档是我自己编写的，关于粗糙集和邻域粗糙集的一些基础知识讲解和邻域粗糙集的基础算例，邻域粗糙集程序使用说明，算例说明。 希望大家能交流学习。如果你没有积分，可以加我qq索取：379786867-Rough Sets and neighborhood rough set
Adaptive-Neighborhood--for--Image
- 自适应邻域技术在图像处理方面运用的非常广泛，本文中所介绍的两种自适应邻域技术——各向异性局部多项式近似—置信区域交集[1] (LPA-ICI，Local Polynomial Approximation—Intersection of Confidence Intervals)技术和区域生长[2] (region growing)技术是目前为止使用最为广泛两种。本文分别使用点的灰度值预选取、矩形块的均值预选取和自适应块预选取来驱动这
neighborhood-classifier
- neighborhood classifier的matlab代码-neighborhood classifier matlab code
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm