In order to classify nonlinear features with a linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network（ KPCANet） is proposed. First, the d...
详细信息
In order to classify nonlinear features with a linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network（ KPCANet） is proposed. First, the data is mapped into a higher-dimensional space with kernel principal component analysis to make the data linearly separable. Then a two-layer KPCANet is built to obtain the principal components of the image. Finally, the principal components are classified with a linear classifier. Experimental results showthat the proposed KPCANet is effective in face recognition, object recognition and handwritten digit recognition. It also outperforms principal component analysis network（ PCANet） generally. Besides, KPCANet is invariant to illumination and stable to occlusion and slight deformation.
SDN网络与传统IP网络的互联机制是当前学术界的研究热点，但现有解决方案并不能适用于所有应用场景。为此提出了一个基于OSPF协议的IMISA架构，在一个包含 SDN 子网（基于OpenFlow）和IP子网的自治系统范围内，通过给SDN控制器添加一个O...
详细信息
SDN网络与传统IP网络的互联机制是当前学术界的研究热点，但现有解决方案并不能适用于所有应用场景。为此提出了一个基于OSPF协议的IMISA架构，在一个包含 SDN 子网（基于OpenFlow）和IP子网的自治系统范围内，通过给SDN控制器添加一个OSPF路由模块，利用OSPF协议交换各自的网络信息，最终实现了2种网络的互联。
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