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Found 5 papers, 1 papers with code
Online Fall Detection using Recurrent Neural Networks
This information can be used to trigger the necessary assistance in case of injury.
Some Further Evidence about Magnification and Shape in Neural Gas
Neural gas (NG) is a robust vector quantization algorithm with a well-known mathematical model.
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is producing an optimized, parallel implementation of the standard sequential algorithms reported in the literature.
Pre-trainable Reservoir Computing with Recursive Neural Gas
Echo State Networks (ESN) are a class of Recurrent Neural Networks (RNN) that has gained substantial popularity due to their effectiveness, ease of use and potential for compact hardware implementation.
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
We adapted to our task a co-FCN originally applied to organs segmentation in volumetric medical images and we trained it on the Whole Slide Images (WSIs) from three out of five medical centers present in the CAMELYON17 dataset.
