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Titlebook: Impact of Modern Dynamics in Astronomy; Proceedings of the I J. Henrard,S. Ferraz-Mello Conference proceedings 1999 Springer Science+Busine

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楼主: STRI
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Shagun,Deepak Kumar,Anshul Aroraictions. In this paper, we propose a recurrent neural network to alleviate this issue. Specifically, a row convolutional long short-term memory (RC-LSTM) network is introduced to model contextual dependencies of local image features. This recurrent network can be integrated with CNNs, giving rise to
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Modeling Property Based Stream Templates with TTCN-3ties with the notion of stream templates like they are already defined in .TTCN-3. Moreover, we provide a formal foundation for .TTCN-3 streams, for a selected set of signal properties and for their integration in .TTCN-3.
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