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Found 4 papers, 1 papers with code
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
In this paper, we propose a novel module, namely Logsig-RNN, which is the combination of the log-signature layer and recurrent type neural networks (RNNs).
Action Recognition In Videos
Skeleton Based Action Recognition
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Approximate Representer Theorems in Non-reflexive Banach Spaces
In this paper we propose a notion of approximate solutions and approximate representer theorem to overcome this problem.
When is there a Representer Theorem? Reflexive Banach spaces
We prove necessary and sufficient conditions for the existence of representer theorems in reflexive Banach spaces and illustrate why in a sense reflexivity is the minimal requirement on the function space.
When is there a Representer Theorem? Nondifferentiable Regularisers and Banach spaces
The well known representer theorem says that under certain conditions on the regulariser there exists a solution in the linear span of the data points.
