搜索资源列表
svm-toy
- 支持向量机制。SVM分类器的重要部件。可以检测和训练样本集和
SVM
- 支持向量机的方法，matlab编写，用于分类检测，模式识别
LS-SVM
- 基于LS-SVM的入侵检测模型与实时测试平台研究-LS-SVM based intrusion detection model and real-time test platform for research
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
lab
- 基于2叉树svm的入侵检测算法，构造偏态二叉-2-tree SVM-based intrusion detection algorithms, binary structure skewness
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
LS-SVMlab1.5
- 支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
svm1
- 用SVM实现红外人体检测,主要方法是聚类分析-Using SVM for infrared human body detection, mainly by cluster analysis
svm-Intrusion-Detection
- SVM用于入侵检测的PPT，适合初学者，有关于SVM理论的介绍，入门。-SVM for intrusion detection of PPT, suitable for beginners, an introduction on the SVM theory, Getting Started.
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
gaborsvm1
- 先用gabor 小波滤波器,做特征提取，然后用支持向量机（SVM）做分类，来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM）for classification.matlab 2010 required.
SVM
- 运用VC实现支持向量机进行故障诊断，很有效地将刀具的故障检测相互来，准确率高-Using VC implementation of support vector machines for fault diagnosis, very effective tool fault detection are to, high accuracy rate
human-recognition
- 基于方向梯度直方图和SVM的人体检测算法论文，NH格式-Gradient direction histogram and SVM based human detection algorithm thesis, NH format
PedestrianDetectionHoG
- HOG特征行人检测 SVM支持向量机 分类-HOG feature pedestrian detection SVM support vector machine classification
ObjectLocalization_Code
- 一个基于Felzenszwalb的latent svm的目标检测框架-This is an implementation of our object localization system as described in [1]. This system is an adaption of the object detection framework of Felzenszwalb et al. [2][3](http://people.cs.uchicago.edu/~pff/latent-r
svm-train
- emd分解，近似阈的信号svm检测和训练-training of svm
KDD99-SVM
- 根据SVM，基于向量机算法的入侵检测系统，依托的是KDD99数据集(According to SVM, the intrusion detection system based on vector machine algorithm relies on KD99 data set.)
PCA+SVM的人脸识别
- 使用pca和svm的方法对人脸进行识别和检测，最终达到人脸识别的功能(Face recognition and detection using PCA and SVM methods, and finally achieve the function of face recognition)
植物虫害检测（GUI，注释，svm算法）
- 植物虫害检测（GUI，注释，svm算法） 该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。 train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练 test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别 colorMom.m 颜色矩特征提取 Gabor_palm.m gabor纹理特征提取(Plant pe
SVM分类
- 基于SVM的疲劳驾驶系统。基于神经网络的非接触式疲劳驾驶检测已成为当前针对疲劳驾驶检测领域炙手可热的研究方向。它有效解决了接触式疲劳检测方法给驾驶员带来的干扰以及单一信号源对于反映疲劳程度可靠性低的问题，同时通过设计神经网络模型对多源信息进行分类，实现对疲劳状态的高精度和高速度的检测。选取合适的特征值对网络检测准确率以及准确反映疲劳程度至关重要。基于驾驶员生理信号检测可靠性和准确性较高。(Fatigue driving system based on SVM)