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Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records
Stroke is one of the leading causes of death and disability worldwide.
Learning source-aware representations of music in a discrete latent space
To address this issue, we propose a novel method to learn source-awarelatent representations of music through Vector-Quantized Variational Auto-Encoder(VQ-VAE). We train our VQ-VAE to encode an input mixture into a tensor of integers in a discrete latentspace, and design them to have a decomposed structure which allows humans to manipulatethe latent vector in a source-aware manner.
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Conditioned source separations have attracted significant attention because of their flexibility, applicability and extensionality.
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