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【matlab】 svm DL : 0: this code provide to understanding SVM
Update : 2024-05-03 Size : 2048 Publisher : kotakungu
【AI-NN-PR】 Gauss-SVM DL : 0: 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.
Update : 2024-05-03 Size : 778240 Publisher : 谌叶龙
【matlab】 SVM DL : 0: In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition
Update : 2024-05-03 Size : 2048 Publisher : sofi
【matlab】 SVM DL : 1: MATLAB中svm入门ppt介绍及程序实例介绍-Getting Started with MATLAB, and procedures of example to illustrate svm
Update : 2024-05-03 Size : 1672192 Publisher : 陈文军
【matlab】 SVM DL : 1: 基于SVM和混沌理论的关于水质预测的matlab仿真的程序，程序里面有详细的说明。是我的毕业设计，希望大家有用。-Based on SVM and Chaos Theory on the water quality prediction matlab simulation program, the program which are described in detail. Is my graduation project I hope you useful.
Update : 2024-05-03 Size : 4096 Publisher : 刘小白
【matlab】 SVM DL : 0: Colletion of SVM-gentetice feature selection programs that implement in matlab
Update : 2024-05-03 Size : 145408 Publisher : jabi
【AI-NN-PR】 SVM DL : 0: 支持向量机的一些小程序，对写有关职能控制方面的论文有一定的帮助-SVM small programs to write the functions of the control of the papers have some help
Update : 2024-05-03 Size : 19456 Publisher : 周明龙
【AI-NN-PR】 SVM-KM DL : 0: 今天看见一个极品 SVM工具箱，很独特，速度也快，不敢独享！ http://asi.insa-rouen.fr/enseignants/~arakotom/toolbox/index.html-Need SVM toolbox today saw a very unique and quick, not exclusive! http://asi.insa-rouen.fr/enseignants/ ~ arakotom/toolbox/index.html
Update : 2024-05-03 Size : 505856 Publisher : lulei
【Books】 SVM DL : 0: 详细阐述SVM的基本原理和基本应用,是不可多得的入门级文档，简洁明了，清楚易懂。-introduce the theory of SVM and some application about it in detail.
Update : 2024-05-03 Size : 489472 Publisher : nick
【Software Engineering】 svm DL : 0: SVM 现在主要用于故障诊断。他可以解决非线性，小样本。-svm is a means for fault detect.
Update : 2024-05-03 Size : 240640 Publisher : 王溟
【AI-NN-PR】 SVM DL : 0: SVM 神经网络数据分类预测葡萄酒种类识别-SVM neural network prediction wines identification data classification
Update : 2024-05-03 Size : 37888 Publisher : guanyouyuan
【Mathimatics-Numerical algorithms】 svm DL : 0: 23825781svmSVM matlab GUI可视化界面直观形象代码解释比较详细对GUI学习和svm学习都有帮助-23825781svmSVM matlab GUI interface intuitive visual image of the code to explain in more detail on the GUI has to help learning and svm learning
Update : 2024-05-03 Size : 200704 Publisher : myzone
【Mathimatics-Numerical algorithms】 SVM DL : 0: SVM支持向量机，利用matlab语言实现，很简单，以word的形式给出--SVM support vector machine, using matlab language is very simple to word given in the form-
Update : 2024-05-03 Size : 5120 Publisher : myzone
【Software Engineering】 svm DL : 0: 关于SVM支持向量机的算法，对于研究手势识别和人脸识别有很大参考价值。-About SVM support vector machine algorithms, gesture recognition and face recognition for the study of great reference value.
Update : 2024-05-03 Size : 5613568 Publisher : 知秋
【GDI-Bitmap】 SVM DL : 0: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG Toolkit developed a prototype system IdeaNote. Is shown th
Update : 2024-05-03 Size : 626688 Publisher : 郭事业
【2D Graphic】 SVM-toolbox DL : 0: 迄今为止最好的svm工具箱包含了波形和图像的处理-svm classification
Update : 2024-05-03 Size : 4447232 Publisher : 张雪
【AI-NN-PR】 svm DL : 0: SVM代码，适用于文本分类，为学习SVM的朋友提供一个参考，共同学习。-SVM code for text classification, the study provides a reference SVM friends, learning together. 提供更好的翻译建议
Update : 2024-05-03 Size : 14336 Publisher : leidan
【Software Engineering】 SVM-PPT DL : 0: 关于数据挖掘中SVM，支持向量机的学习课件，都是PPT，内容详实，可作为讲课与学习的参考资料。-Data mining on the SVM, support vector machine learning courseware are PPT, informative, can be used as reference for lectures and learning.
Update : 2024-05-03 Size : 42260480 Publisher : 杜以华
【Graph program】 svm DL : 0: 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB source code written using svm, support vector machine can be achieved for feature classification or extraction
Update : 2024-05-03 Size : 198656 Publisher : 王世涛
【Other】 SVM DL : 0: 利用级联SVM的人体检测方法从图像中检测出人体是计算机视觉应用中的关键步骤。通过一个由简到繁的级联线性SVM分类器将级联拒绝的机制与梯度方向直方图特征相结合,实现了一个准确和快速的人体检测器,整个检测器由级联的线性 SVM分类器组成。实验结果表明,在保持Dalal算法检测准确性的同时,大幅的提高了检测速度,每秒平均可以处理12帧左右的320 ×240的图像。-Human detection using cascade SVM method detected from the images of computer vision applications, the human body is a key step. From the simple to the complex through a cascade of linear SVM classifier with the cascade mechanism of rejection combined histograms of oriented gradients to achieve an accurate and rapid detection of the human body, the detector by a cascade of linear SVM classifier component. The results show that the accuracy in maintaining Dalal algorithm to detect the same time, substantially increase the detection rate of 12 frames per second on average can process about 320 × 240 image.
Update : 2024-05-03 Size : 482304 Publisher : lilin

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