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Z-Order Recurrent Neural Networks for Video Prediction
First, we propose a new RNN architecture for modeling the deterministic dynamics, which updates hidden states along a z-order curve to enhance the consistency of the features of mirrored layers.
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Video Prediction
on KTH
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Composite Correlation Quantization for Efficient Multimodal Retrieval
Efficient similarity retrieval from large-scale multimodal database is pervasive in modern search engines and social networks.
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