搜索资源列表
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
SVMAPP
- SVM分类器，可用于训练样本值，仅供参考，交流，学习-SVM classifier, the value of training samples can be used for reference purposes only, communication, learning
000
- 支持向量机(svM)是一种新的机器学习技术。本文采用一对一方法构建多分类SVM 分类器。利用常用的灰度共生矩阵方法提取图像纹理特征，组成特征向量，输入构建好的SVM 多分类器中进行分类。对从Brodatz纹理库中选取的4张纹理图像进行了分类实验，取得较好的 分类结果-Support vector machine (svM) is a new machine learning techniques. In this paper, one way to build a multi-cla
01
- 的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出 了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征， 并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并 成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数 字图像之间的特征区分能力。-Study color digital image classification and recognition m
svm
- python语言写的SVm分类器，自己写的，完全可用！-python language written SVm classifier, write your own, completely free!
svm-ses
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The machine algorithm respectively perception, the minimum square error algorithm, linear SVM classifier algorithm design, respectively, draw the decision surface, and compare the performance.
Linear-classifier-design
- 对“data1.m”数据，分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
PCA_SVM
- 采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
svm
- 实现SVM分类器的训练，利用提取得到的特征训练得到分类器-The training of the SVM classifier using the extracted features training the classifier
objdetect
- 利用HOG特征和SVM分类器实现人体的检测，很有效-HOG features and SVM classifier detection of the human body, it is effective
1
- SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
SVM
- 基于svm的分类器设计程序，模式识别分类器设计中很有用，值得分享。-Pattern recognition classifier design based on the the the svm classifier design program, useful and worth sharing.
SVM
- 这个是一个SVM分类器，可以直接使用，当然也有代码~-This is a SVM classifier, can be used directly, of course, there are code ~
pedestrian-detection
- 提供了一种基于HOG特征的智能行人检测(SVM分类器)-HOG-based pedestrian detection feature intelligent (SVM classifier)
svm
- 该程序实现机器学习中支持向量机（SVM）的功能，可以用来学习分类器。-The program realization of support vector machine learning (SVM) function, can be used to study the classifier.
libsvm
- 这个是一个SVM分类器，可以再行人检测时用来分类训练样本，再MATLAB中直接调用-This is an SVM classifier, when pedestrian detection can be used to classify the training sample, and then directly call MATLAB
SVM-segmention
- 基于SVM支持向量机的图像前景和背景分割代码他，通过手动选择训练样本生成分类器，然后进行分割-SVM SVM based image segmentation code foreground and background, he generated classifier by manually selecting training samples, and then split
fall
- 跌倒检测的MATLAB程序 包括背景差分 去噪并判断跌倒 提取高宽比 重心下降速率 hu不变矩特征 svm分类-fall detection s MATLAB program including background dirrerence remove noise and ratio of height and wide hu invariable moments and svm classifier
multisvm
- mutli-SVM classifier
C-SVM
- SVM 分类器，用于对正负样本进行分类，机器学习内容-svm classifier，classify positive and negative samples，machine learning