Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: Discrimination problems are of significant interest in the machine learning literature. There has been growing interest in extending traditional vector-based machine learning techniques to ...
The canonical spherical harmonics $Y_{lm}$ subject to a rotation in $\mathbb{R}^{3}$ will always mix among each other. As such, we can represent the act of rotating ...
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