搜索资源列表
svm-ga
- SVM神经网络中的参数优化---利用SVM提升分类器性能,很好-Parameter optimization of SVM neural network--- SVM to enhance the performance of the classifier, good
ClassResult
- 手写体SVM分类器的设计源代码,,挺好的,可以参考-SVM Handwritten classifier design, source code, very good, can refer to .
svm
- 支持向量机分类器,可以用于手写分类,车牌字符分类等-Support vector machine classifier
libsvm-fast
- 基于svm分类器的源代码,matlab与c++的混合编程。可实现基于支持向量机的快速分类
Classifier
- C++实现的SVM分类器,代码量稍微大了一点-Achieve C++ SVM classifier, the amount of code become slightly
libsvm-3.17
- svm分类器,实现线性svm分类,可以在matlab中或是vc++中编译运行,首先要进行编译-svm linear classifier
the-svm-parameter-optimization
- SVM神经网络中的参数优化,用以提升分类器的性能-The SVM parameters optimization of neural network
SVM
- 模式识别,线性分类器。经调试可用,希望可以帮到需要的人。-Pattern recognition, linear classifier. After debugging is available, the desire to help people in need.
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像,分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
SVM
- 运用支持向量机作为分类器,适用于特征选择算法-Using support vector machine as classifier, feature selection algorithm
svm
- 支持向量机:用于把数据进行分类,多类分类器。分类正确率高-support vector machine for classification
JSvmLib
- java版支持多类的SVM分类器,用的是SMO算法求解,核函数是线性的,带注释。-codes of SVM in java
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)
peda_detect
- 行人检测实现代码,利用hog特征和harr特征,svm分类器实现-Pedestrian detection code, the use of hog features and harr characteristics, svm classifier to achieve
SVM
- 深度学习中关于向量机支持向量机(即一种分类器)的相关内容-Depth study on vector machines support vector machine (that is, a classifier) related content
SVM-KMtoolbox
- svm-km支持向量机工具箱,特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.-svm-km SVM Toolbox, is characterized by experience that they can while minimizing errors and maximizing geometric border zone. therefore support vector machine is also known as the maximum
13-SVM-bp
- SVM神经网络中的参数优化---提升分类器性能,模型精度较高-SVM neural network classifier parameter optimization--- to enhance performance, high accuracy of the model
hogPsvm
- HOG特征点的提取并使用SVM分类器训练样本予以分类(样本尺寸可以不一)-HOG feature point extraction and SVM classifier using training samples to be classified (sample size may vary)
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.
Igohd
- 图像梯度方向直方图描述子:,该方法使用梯度方向直方图(Histogram of Oriented Gradients,简称HOG) 特征来表达人体,提取人体的外形信息和运动信息,形成丰富的特征集,然后使 用支持向量机线性SVM 分类器对这些特征集进行训练。-Image gradient orientation histogram descr iptor