Abstract: Addresses the problem of trajectory prediction in machine vision applications using variants of Elman's partially recurrent networks.
ABSTRACT. We address the problem of trajectory prediction in machine vision applications using variants of Elman's partially recurrent networks.
[PDF] Modelling Spatio-Temporal Trajectories and Face Signatures ...
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ABSTRACT. We address the problem of trajectory prediction in machine vision applications using variants of Elman's partially recurrent networks.
Addresses the problem of trajectory prediction in machine vision applications using variants of Elman's partially recurrent networks. The authors use dynamic ...
We train such networks to encode knowledge about “trajectories” in dynamic face recognition using an extended “temporal signature” eigenface representation of ...
Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks. A Psarrou, S Gong, H Buxton. Proceedings of ICNN'95 ...
Buxton, Modelling Spatio-Temporal Trajectories and Face Signatures on Partially Recurrent Neural Networks , Int. Conference on Neural Networks, pp. 2226 ...
Psarrou, S. Gong and H. Buxton. Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks. In Proc. IEEE International ...
May 24, 2003 · Modelling Spatio-Temporal Trajec- tories and Face Signatures on Partially Recurrent Neural Networks. In. Proc. IEEE International Conference ...
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