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Titlebook: Handbuch für die Telekommunikation; Volker Jung,Hans-Jürgen Warnecke Book 19981st edition Springer-Verlag Berlin Heidelberg 1998 Audio.Die

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31#
發(fā)表于 2025-3-27 00:37:11 | 只看該作者
Uwe Baumgarten,J?rg Ebersp?cher,Jochen Frings,Joachim Hagenauer,H. Hutzelmann,Peter Jocher,Rudi Knore perplexed by vagueness among videos, which often lead to grammatical correct but less germane results. In this paper, we propose an effective end-to-end network, called a Collaborative Detection and Caption network, which takes a video caption network as video-to-sentence sub-network and principle
32#
發(fā)表于 2025-3-27 04:11:04 | 只看該作者
33#
發(fā)表于 2025-3-27 06:44:22 | 只看該作者
Wolfgang Aicher,Werner Bachhuber,Chandan Das,Rudi Knorr,Dag Neumeuer,Heiko Sorgenfrei,Walter StechelM 2018, held in Hefei, China, in September 2018..The 209 regular papers presented together? with 20 special session papers were carefully reviewed and selected from 452 submissions. The papers cover topics such as: multimedia content analysis; multimedia signal processing and communications; and mul
34#
發(fā)表于 2025-3-27 12:28:37 | 只看該作者
timate the visibility threshold in orderly region and underestimate that of the disorderly region. In order to obtain a more accurate DCT-JND profile, a novel block-level disorder metric is proposed and disorderly concealment effect is taken into account in the DCT-JND model. Specifically, an improv
35#
發(fā)表于 2025-3-27 15:32:18 | 只看該作者
36#
發(fā)表于 2025-3-27 18:45:57 | 只看該作者
extract semantic features from images and textual articles jointly. More specifically, a VGG network is used to transfer deep semantic knowledge from a large-scale image dataset to the target image dataset. Simultaneously, a fully-connected network is designed to model semantic representation from t
37#
發(fā)表于 2025-3-28 00:47:06 | 只看該作者
F. R. Bartsch,Horst Besier,Uwe Dankert,Heinz Dibold,Martin Diekmeier,Klemens Hahn,Leif Heitzer,Hans-ng place between various numbers of people, different occlusions. According to human cognitive and behavioral researches, background and facial expression play a dominating role in the perception of group’s mood. Hence, in this paper, we propose a novel approach that combined these two features for
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