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【Develop Tools】专题－NAT DL : 0: 专题－NAT -feature-NAT feature-NAT
Update : 2008-10-13 Size : 55439 Publisher : 陈锋
【Windows Develop】 FEAR DL : 0: 很完整的一个木马程序,也可以聊天...功能很全 -complete a Trojan program, can also chat feature is the whole ...
Update : 2008-10-13 Size : 25097 Publisher : 醉影
【Other resource】基于Bhattacharyya距离准则的核空间特征提取算法 DL : 0: 基于Bhattacharyya距离准则的核空间特征提取算法，觉得不错-Bhattacharyya distance criteria based on the nuclear space feature extraction algorithm think it's good
Update : 2008-10-13 Size : 231105 Publisher : 王位
【Windows Develop】鼠标取词vc代码 DL : 0: 现在的即时翻译软件种类很多，使用方法也各有千秋，但它们大都有一个共同的特点：鼠标指到哪儿，就翻译它下面的单词。这大大地方便了用户，但是从一个编程人员的角度来看就不那么轻松了。因为没有一个方便的函数类似”GetWordUnderMouse()”可以得到鼠标下面的单词，那么这些软件是怎么做的呢？经常在BBS和mailing list里看到和我同样困惑的问着相同问题的网友们。-Now in the matket the immediatly translation software has many sorts.The method of using is also differently.But they have a feature in common:it translate the word when the mouse pointer points a word.This founction make things conwenient for the consumer,but through the angle of a programmer it is not so easyly.In the reason of not having a conveniet founction just as \"GetWordUnderMouse()\"that can get the word undermouse,then how did these software product?I ofen encoutered the web funs who had the same question as me in the BBS or maling list.
Update : 2008-10-13 Size : 71846 Publisher : 李斌
【Special Effects】 Feature_extraction DL : 0: 用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)
Update : 2024-04-30 Size : 30720 Publisher : 噗噗大人
【Special Effects】 1 DL : 0: feature feadure????????
Update : 2024-04-30 Size : 102400 Publisher : foruclan
【Special Effects】 hog-feature DL : 0: 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子。它通过计算和统计图像局部区域的梯度方向直方图来构成特征。Hog特征结合SVM分类器已经被广泛应用于图像识别中，尤其在行人检测中获得了极大的成功。需要提醒的是，HOG+SVM进行行人检测的方法是法国研究人员Dalal在2005的CVPR上提出的，而如今虽然有很多行人检测算法不断提出，但基本都是以HOG+SVM的思路为主(The Histogram of Oriented Gradient (HOG) feature is a feature descriptor for object detection in computer vision and image processing. It constructs features by computing and counting histograms of gradient directions in local regions of images. Hog features and SVM classifier have been widely used in image recognition, especially in pedestrian detection. It needs to be reminded that the method of pedestrian detection by HOG+SVM is proposed by French researcher Dalal on 2005 of CVPR, and although many pedestrian detection algorithms are constantly proposed, it is mainly based on the idea of HOG+SVM.)
Update : 2024-04-30 Size : 162816 Publisher : 赵阿敏
【matlab】 feature-selection-master DL : 0: 最小冗余最大相关性（MRMR）（MRMR.M）需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱偏最小二乘（PLS）回归系数（ReGCOEF.m）使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.）从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。费雪评分（Fisher评分）围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)
Update : 2024-04-30 Size : 11264 Publisher : smilingcost
【matlab】 BSOFS DL : 1: 改进的头脑风暴算法（MBSO）用于特征选择，MBSO方法文章来源：Zhan, Zhi Hui, et al. "A modified brain storm optimization." Evolutionary Computation IEEE, 2012:1-8.(Improved brainstorming algorithm for feature selection, MBSO method source: Zhan, Zhi Hui, et al. "A modified brain storm optimization." Evolutionary Computation IEEE, 2012:1-8.)
Update : 2024-04-30 Size : 6144 Publisher : 学森
【Special Effects】 Texture feature extraction DL : 0: 灰度共生矩阵即为灰度级的空间相关矩阵，以其为基础的统计方法通过对矩阵统计量的求取较好地提取到了纹理特征，通过选取关键参数编程并进行仿真实现，分别求取了四个方向的灰度共生矩阵及其特征量来分析图像的纹理特征。(The gray level co-occurrence matrix is the gray level spatial correlation matrix. Based on the gray level co-occurrence matrix, the texture features are extracted from the matrix statistics. The gray level co-occurrence matrix in four directions and its features are obtained by selecting the key parameters and programming and simulation. Features.)
Update : 2024-04-30 Size : 854016 Publisher : giggle第一名
【Other】 BPSO for feature selection DL : 0: 二进制粒子群算法（Binary particle swarm optimization algorithm，BPSO）解决特征选择问题。(Binary particle swarm optimization algorithm for feature selection problem)
Update : 2024-04-30 Size : 3072 Publisher : 禾兮
【Special Effects】新建文件夹 DL : 0: 基于灰度共生矩阵的图像纹理特征提取，包括熵，能量，相关，均值，逆差矩等(Image texture feature extraction based on gray level co-occurrence matrix)
Update : 2024-04-30 Size : 2048 Publisher : 单人可
【matlab】 feature-selection-mRMR-master DL : 0: 特征选择方法，用于降低数据维数，常见的一种特征筛选手段，可以从大量变量中筛选特征变量实现保留变量与目标之间的最大相关性(feature selection method for mRMR)
Update : 2024-04-30 Size : 10317824 Publisher : 不真实
【LabView】 Feature Matching DL : 0: 运用FAST特征点匹配算法，通过模板对整张大图实现实现图像的特征点匹配，并获取匹配分数和匹配位置信息。(The FAST feature point matching algorithm is used to realize the feature point matching of the image through template pairing of the whole large image, and the matching score and matching location information are obtained.)
Update : 2024-04-30 Size : 90112 Publisher : 青菜紫罗冬瓜
【matlab】 Shape feature extraction DL : 0: 图像的形状特征一般是在物体从图像中分割出来以后进行分析，形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法，一类是边界特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape feature description and dimensional measurement can be used as a basis for distinguishing different objects. There are two types of representation methods for shape features, one is boundary feature and the other is regional feature. The contour features of the image are primarily directed to the outer boundary of the object, while the regional features of the image are related to the entire shape region.)
Update : 2024-04-30 Size : 122880 Publisher : 堕落方舟
【AI-NN-PR】 Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification DL : 0: 是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。文章关键字：特征选择；粒子群算法；大规模；自适应；分类
Update : 2019-12-06 Size : 21562363 Publisher : bengbengkaka
【Special Effects】 Approximate low-rank projection1 DL : 0: 在文中，提出来一个基于低秩的特征提取方法(Feature extraction plays a significant role in pattern recognition. Recently, many representation-based feature extraction methods have been proposed and achieved successes in many applications. As an excellent unsupervised feature extraction method, latent low-rank representation (LatLRR) has shown its power in extracting salient features)
Update : 2024-04-30 Size : 1943552 Publisher : HUAZI123
【matlab】 Feature Selection using GA DL : 1: 用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.)
Update : 2024-04-30 Size : 3343360 Publisher : xiaohe1234
【Other】 verticak feature mask CALIPSO DL : 0: Colour map code for vertical feature mask by using matlab.
Update : 2021-06-01 Size : 9644 Publisher : narendra621@yahoo.in
【Software Engineering】 Emergency Download Feature DL : 0: This document introduces the emergency download feature on Qualcomm systems, including its architecture, its components, and the targets on which it is currently supported. This document also serves as the emergency download feature user guide.
Update : 2022-09-22 Size : 319657 Publisher : stryker777

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