文件名称:activity-recognition-based-on-SVM
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2015-08-27
- 文件大小：
- 28kb
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- guo***
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基于支持向量机的人类活动识别，以日常生活中的10个活动进行识别。-Support Vector Machine (SVM) was first proposed in
1995 by Cortes and Vapnik [15] for solving classification and
regression problems. The solving strategy of SVM on the
multiple classification problems is commonly “one to one”
strategy, whose basic thought is that the classification problems
with N categories will be decomposed into ()1/2 NN− binary
classification problems to deal with, and meantime,
()1/2 NN− training classifiers needed to be trained. In the
training process, any two categories of all the N categories
would be selected as one group. Assume that we have five
categories, and these categories are labeled ,,, , ABC DE.
Figure 3 shows the
() 551/2 ×− classifiers according to “one to
one” tragedy.
1995 by Cortes and Vapnik [15] for solving classification and
regression problems. The solving strategy of SVM on the
multiple classification problems is commonly “one to one”
strategy, whose basic thought is that the classification problems
with N categories will be decomposed into ()1/2 NN− binary
classification problems to deal with, and meantime,
()1/2 NN− training classifiers needed to be trained. In the
training process, any two categories of all the N categories
would be selected as one group. Assume that we have five
categories, and these categories are labeled ,,, , ABC DE.
Figure 3 shows the
() 551/2 ×− classifiers according to “one to
one” tragedy.
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下载文件列表
src\ar.c
...\ar.config
...\ar.h
...\makefile
...\svm.cpp
...\svm.h
src