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Despite the fact that several sites have reported the effectiveness of convolutional neural networks (CNNs) on some tasks, there is no deep analysis regarding why CNNs perform well and in which case we should see CNNs' advantage. In the light of this, this paper aims to provide some detailed analysis of CNNs. By visualizing the localized filters learned in the convolutional layer, we show that edge...
This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted...
This paper proposes the schemes of automatic process and metrology data-quality evaluations for the automatic virtual metrology (AVM) system. Firstly, principal component analysis is applied to extract data features of all the collected equipment process data; then Euclidean distance is utilized to unify all the principal components into a single index denoted by process data quality index ...
In this paper, we propose an optimal SVC bitstream extraction scheme that can produce scalable layer representations for different viewing devices scattered over a multicasting network with diverse link bandwidth. Our scheme can determine optimal extraction orders/paths that are implementable at different multicasting nodes by performing successive steps of multiple adaptation. In addition to this...
Security is an important issue while networks are becoming ubiquitous. A primary application of security networks is multimedia services, which is challenging bandwidth management capabilities with regard to QoS and its authorized access. To deal with these several issues, this study presents an embedded QoS-aware control gateway (EmQCG) in the vehicle security network which classifies forwarded traffic...
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