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Chen et al. (2019)One-shot image deformationImage deformation meta-network (IDeMe-Net)CVPR Requeima, Gordon, Bronskill, Nowozin, and Turner (2020)Heterogeneous multitask learning in image classificationConditional neural adaptive processes (CNAPs)NeurIPS ...
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2). The network parameters were initially trained from open-loop trials where the participant attempted to move his fingers in sync with moving fingers on the hand avatar. The decoding algorithm was then used in closed-loop training trials; the parameters are refined by assuming that decoded ...
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you could also use a wireless hdmi adaptor. this wireless adaptor allows you to seamlessly connect your monitor to the wireless network in your home or office. if you want to make an even bigger upgrade to your desk with a large monitor, you could create a laptop triple monitor setup. all...
[51]. Recurrent Neural Network (RNN) is another important deep learning architecture that can provide a solution for such a problem giving deep neural networks the concept of memory via the hidden state. Different RNN types (RNN, GRU, and LSTM) was adopted by Benzekri et al.[13]to detect...
(EGT) system in order to obtain eye coordinates, which are sent to the computer interface where they are normalized into mouse coordinates according to the current monitor resolution, and passed through a trained neural network to reduce the ubiquitous jitter of the mouse cursor and the ...