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Titlebook: Industrial Applications of the Mössbauer Effect; Proceedings of ISIAM Desmond C. Cook,Gilbert R. Hoy Conference proceedings 2002 Kluwer Aca

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Z. Homonnay,K. Nomura,S. Hamakawa,T. Hayakawa,G. Juhász,E. Kuzmann,A. Vértest feature representations of each sample are maximized, and the distance of each positive is less than a low threshold and that of each negative pair is greater than a high threshold, simultaneously. Experimental results show that our method can achieve competitive results compared with the state-of
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Y. Van Der Meer,M. J. Vissenberg,V. H. J. De Beer,J. A. R. Van Veen,A. M. Van Der Kraanlem (MRF) with hard constraints and solved efficiently using graph cuts. To regularize this problem, we exploit 3D and appearance cues that encourage pixels to take on depth values that will be compatible in 3D to the piecewise planar assumption. Extensive experiments, on a new large-scale and chall
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Yoichi Sakai,Kingo Ariyoshi,Tsutomu Ohzukuon of networks with different depth is used to improve the training efficiency and all the convolutional operations and parameters updating are based on the efficient GPU implementation. The experimental results applied to some widely used benchmark outperform the state of the art methods.
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V. Ksenofontov,S. Reiman,D. Walcher,Y. Garcia,N. Doroshenko,P. Gütlichnd 1% IoU in Cityscapes. There is a large improvement for certain classes like trucks, building, van and cars which have an increase of 29%, 11%, 9% and 8% respectively in Virtual KITTI. Surprisingly, CNN model is able to produce good semantic segmentation from depth images only. The proposed networ
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