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lecture07-090330
- Vapnik-Cheervonenkis (VC) Dimension Support Vector Machines SVM Applications Committee machines PAC Learning Boosting “No Free Lunch” Theorem-Vapnik-Cheervonenkis (VC) Dimension
Machine-Learning-Materials
- 北航计算机学院研究生机器学习课程讲义，涵盖了机器学习领域大部分内容，如SVM、EM、boosting等。深入浅出，易于自学-Beihang University Graduate School of Computer Science Machine Learning Lecture Notes, covering most of machine learning, such as SVM, EM, boosting and so on. Easy to understand and self-l
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
pkupr
- 模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised
boosting_demo
- boosting算法用于集成学习，包含多种弱分类器(Boosting algorithm is used for ensemble learning, and it contains many weak classifiers)