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Brain-inspired models have become a focus in artificial intelligence field. As a biologically plausible network, the recurrent neural network in reservoir computing framework has been proposed as a popular model of cortical computation because of its complicated dynamics and highly recurrent connections. To train this network, unlike adjusting only readout weights in liquid computing theory or changing...
Background modeling plays a key role of event detection in intelligent surveillance systems. Gaussian Mixture Model (GMM) is a popular background modeling method in latest surveillance systems. However, the model will result in object fragmentation if the objects' color is likely to its background. In our paper, we present a different mechanism which compares the area of original pictures with background...
This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance...
In order to solve the problems that sensor node-key leaking and adversaries make compromised nodes as their collusions to launch new attack, the paper proposed an efficient anti-collusion scheme based on elliptic curve cryptography for wireless sensor networks. In the proposed scheme, the group-key distribution strategy is employed to compute the private key of each sensor node, and the encryption...
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