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A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Deep learning inference that needs to largely take place on the 'edge' i...
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Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
The primary objective of this paper is to build classification models an...
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Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering
In this paper, we review recent work published over the last 3 years und...
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A low-power end-to-end hybrid neuromorphic framework for surveillance applications
With the success of deep learning, object recognition systems that can b...
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EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors
In this paper, we present EBBIOT-a novel paradigm for object tracking us...
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Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors
This paper presents a three layer spiking neural network based region pr...
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Jyotibdha Acharya
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