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https://doi.org/10.1007/978-3-319-46478-7_21

Extending Long Short-Term Memory for Multi-View Structured Learning

Long Short-Term Memory (LSTM) networks have been successfully applied to a number of sequence learning problems but they lack the design flexibility to model multiple view interactions, limiting their ability to exploit multi-view relationships. In this paper, we...



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Extending Long Short-Term Memory for Multi-View Structured Learning

https://doi.org/10.1007/978-3-319-46478-7_21

Long Short-Term Memory (LSTM) networks have been successfully applied to a number of sequence learning problems but they lack the design flexibility to model multiple view interactions, limiting their ability to exploit multi-view relationships. In this paper, we...



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https://doi.org/10.1007/978-3-319-46478-7_21

Extending Long Short-Term Memory for Multi-View Structured Learning

Long Short-Term Memory (LSTM) networks have been successfully applied to a number of sequence learning problems but they lack the design flexibility to model multiple view interactions, limiting their ability to exploit multi-view relationships. In this paper, we...

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