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Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is often compromised by the constraint that the neural network only takes the fixed-size input. To accommodate this requirement, input images need to be transformed via cropping, warping, or padding, which often alter image composition,...
The handling of twist-locks has been a heavy burden for the container industry. There have been many efforts in developing automated twist-lock handling solutions. To address this challenge, we are developing a customized mobile manipulator for twist-lock grasping. The technical challenge is 3D irregular object recognition in unstructured port environment. In this paper, we use PCA and KPCA to do...
The handling of twist-locks has been a heavy burden for the container industry. There have been many efforts in developing automated twist-lock handling solutions. To address this challenge, we are developing a customized mobile manipulator for twist-lock pose estimation and grasping. In this paper, we propose a 3D object recognition approach using Kernel Principal Component Analysis (KPCA) only based...
In this paper, the design of a simple orthogonal distributed space-time block code for a noncoherent amplify-and-forward (AF) half-duplex cooperative relay system is proposed by utilizing a pair of coprime phase-shift keying (PSK) constellations and the Alamouti coding scheme. It is shown that one significant advantage of such design is that, in a noise-free case, for any given nonzero received signals,...
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