SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
Abstract: Addressing the challenge of multiclass change detection with a small sample size, a change vector analysis with an adaptive weight Gaussian mixture model (CVA-AWGMM) is proposed in this ...
Abstract: Vector quantization is a viable solution to the problem as to full utilization of randomness provided by statistically dependent channel measurements in secret key extraction from randomly ...
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