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SVM.rar
- OpenCV机器学习SVM支持向量机的分类程序举例,OpenCV Machine Learning SVM example.
ComponentbasedFaceDetection
- Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level,
The-application-of-svm
- 统计机器学习的支持向量机SVM在图像分割中的应用学习报告。-Statistical machine learning support vector machine SVM image segmentation study report.
umist
- 人脸数据库umist数据集,分辨率为32x32，已处理成.mat格式，包括数据和类表，用于机器学习-Face Database umist dataset resolution 32x32, has been processed into .mat form, including data tables and classes, machine learning
isolet5
- isolet5数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-isolet5 dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
sonar
- sonar数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-sonar dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
Yale-expression
- Yale 表情，有关人脸识别的黄色人种人脸数据库，用于模式识别-Yale expression, about the yellow race face recognition database, used for machine learning
svm-seg
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
libol_v0.3.0
- 最先进的在线学习算法,用于机器学习和数据挖掘研究。目前它支持30 +在线线性算法和变异二进制分类和多级分类任务-consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binar
KCF-track
- visual tracking 代码 利用SVM机器学习追踪 速度非常快-visual tracking code takes advantage of SVM machine learning very fast track