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Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures
The Hierarchy Of Time-Surfaces (HOTS) algorithm, a neuromorphic approach for feature extraction from event data, presents promising capabilities but faces challenges in accuracy and compatibility with neuromorphic hardware.
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition
In recent years tremendous efforts have been done to advance the state of the art for Natural Language Processing (NLP) and audio recognition.
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