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Found 2 papers, 2 papers with code
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
Some of the previous studies found that the spectrogram of various types of heart sounds is visually distinguishable to human eyes, which motivated this study to experiment on visual domain classification approaches for automated heart sound classification.
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference
Estimates of image gradients play a ubiquitous role in image segmentation and classification problems since gradients directly relate to the boundaries or the edges of a scene.
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