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We propose a recurrent neural-network for real-time reconstruction of acoustic camera spherical maps. The network, dubbed DeepWave, is both physically and algorithmically motivated: its recurrent architecture mimics iterative solvers from convex optimisati ...
This paper analyses the application of Kohonen's self-organizing feature map to short-term forecasting of daily electrical load. The aim of the paper is to study the feasibility of the Kohonen's self-organizing feature maps for the classification of electr ...
Neural networks are highly effective tools for pose estimation. However, robustness to outof-domain data remains a challenge, especially for small training sets that are common for real world applications. Here, we probe the generalization ability with thr ...
