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Arxiv
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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
- Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
- This paper presents a novel approach that combines PointNet's feature extraction with neuromorphic systems for spatio-temporal signal recognition.
- The proposed method involves a two-stage process - feature extraction with PointNet and processing with spiking neural encoder-decoder that employs the Locally Competitive Algorithm (LCA).
- PointLCA-Net achieves high recognition accuracy for spatio-temporal data with lower energy burden, enhancing computational efficiency on edge devices.
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