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- 国外著名的很不多的关于介绍meanshift的经典的ppt，有详细的理论分析。-Very many foreign famous classic presentation of meanshift ppt, a detailed theoretical analysis.
meanshift
- 基于MeanShift和自适应预测的非刚性目标跟踪算法 希望对大家有用-Adaptive prediction based on MeanShift and non-rigid object tracking algorithm we hope be useful
a-new-tracking-algorithm
- 一种新的跟踪算法,这是基于meanshift的一种,可以很好地提高跟踪效率-tracking using meanshift algorithm
meanshift
- 均值漂移程序，genzongche,genzongren为主程序，其他的为函数。-meanshift matlab program
Kalman(1)
- 卡曼滤波一直是人工神经网络的主要的研究方法之一。-meanshift for tracking
04618836
- 有关于meanshift核函数带宽变更不错的跟踪算法-Change a good tracking algorithm About meanshift bandwidth of kernel function
meanMina
- MeanShift clustering Code with sample data and plot results
V91332007Meani
- 的Visual C编写meanshift算法法可用于目标识别成一个。 -Written in the Visual C meanshift algorithm method can be used for target recognition into a.
MeanShift
- 一个不错的Meanshift算法流程图 初学者可以-failed to translate
IET_CV_2010
- 一种改进的背景权重的Meanshift跟踪方法-Robust Mean Shift Tracking with Corrected Background-Weighted Histogram
meanshift-tracking
- meanshift结合颜色特征跟踪目标的程序，经过调试无误，还有几个很好的meanshift算法学习资料包，非常适合初学者参考-color-based meanshift tracking program, some bugs have been fixed, and some information about meanshift is included too! enjoy yourself~~
MeanShift
- 详细介绍了meanshift算法的原理，并介绍了其在目标追踪中的应用-Details of the principle meanshift algorithm and describes its application in target tracking in
manifoldMS_src
- 非线性空间中meanshit聚类,visual studio开发-meanshift in nonlinear space
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
guassianmeanshift.py.tar
- clustering in an image using guassian meanshift method
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行