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Neural network frames on the sphere
Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501), 2002We construct a multiresolution analysis of the standard Hilbert space on a Euclidean sphere, which can be implemented directly by neural networks. The neural networks may utilize any sufficiently smooth function as an activation function, and their size can be determined in advance.
Hrushikesh N. Mhaskar +2 more
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Deep Network-Based Frame Extrapolation With Reference Frame Alignment
IEEE Transactions on Circuits and Systems for Video Technology, 2021Frame extrapolation is to predict future frames from the past (reference) frames, which has been studied intensively in the computer vision research and has great potential in video coding. Recently, a number of studies have been devoted to the use of deep networks for frame extrapolation, which achieves certain success. However, due to the complex and
Shuai Huo +5 more
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Message Framing in Social Networking Sites
Cyberpsychology, Behavior, and Social Networking, 2013Online social networking sites represent significant new opportunities for Internet advertisers. However, results based on the real world cannot be generalized to all virtual worlds. In this research, the moderating effects of need for cognition (NFC) and knowledge were applied to examine the impact of message framing on attitudes toward social ...
Shih-Chieh Chuang +3 more
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Zonal function network frames on the sphere
Neural Networks, 2003We introduce a class of zonal function network frames suitable for analyzing data collected at scattered sites on the surface of the unit sphere of a Euclidean space. Our frames consist of zonal function networks and are well localized. The frames belonging to higher and higher scale wavelet spaces have more and more vanishing polynomial moments.
Francis J. Narcowich +2 more
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Network Performance Evaluation of Jumbo Frames on a Network
2013 6th International Conference on Emerging Trends in Engineering and Technology, 2013Enhancing network performance has been studied by a number of researchers. The need to provide greater throughput on network infrastructure has been the key driver for these studies. The use of jumbo frames is considered one of the methodologies that can be employed to increase data throughput on networks.
Shaneel Narayan, Paula Raymond Lutui
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Frame relay: the networker express
IEE Review, 1992By exploiting the low error rates on modern transmission systems, the frame-relay network protocol is transforming the performance and capabilities of packet-based networks.
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Framing a demand network for sustainability
Progress in Industrial Ecology, An International Journal, 2004The embeddedness of companies in their micro and macro environments, their interconnectedness in supply chains and with their stakeholders, makes it impossible for them to develop sustainable strategies in isolation from other actors, the basic motivation for such systemwide perspectives as those in industrial ecology.
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Frame relay in public networks
IEEE Communications Magazine, 1992Frame relay is a significant networking technology in the current data networking environment. Given its inherent advantages, it is particularly well-suited to LAN interconnection. In a public network, frame relay has key advantages for end users in terms of performance and cost efficiency.
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Strategic framing in the BP crisis: A semantic network analysis of associative frames
Public Relations Review, 2012This paper contributes to the analysis of the interplay of public relations and news in crisis situations, and the conceptualization of strategic framing by introducing the idea of associative frames and the method of semantic network analysis to the PR research field.
Sonja Utz +4 more
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Modeling sensor networks with fusion frames
SPIE Proceedings, 2007The new notion of fusion frames will be presented in this article. Fusion frames provide an extensive framework not only to model sensor networks, but also to serve as a means to improve robustness or develop efficient and feasible reconstruction algorithms.
Christopher J. Rozell +3 more
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