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Optimal density functions for weighted convolution in learning models
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DOI：10.1016/j.neucom.2026.133905.png)
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Abstract
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• We introduce an optimal weighted convolution that applies a density function to scale pixel contribution. • A density function is optimised to increase the accuracy of learning models. • Optimal weighted convolution improves image denoising and classification problems.
Keywords:
Weighted convolution
Optimal density function
Optimisation model
Deep learning
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