Abstract: In the domain of full-wave inverse scattering imaging problems, subspace-based optimization methods (SOMs) often perform suboptimal performance under significant noise conditions due to the ...
Abstract: At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning ...
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