2 citations · 3 across the 5 of their papers we have counts for
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Large-Scale Quantum Kernels for Hyperspectral Data Classification
A. Delilbasic, A. Miroszewski, A. Wijata +4
Quantum kernel methods have emerged as a promising approach for leveraging high-dimensional feature spaces in machine learning, particularly in domains where classical kernel metho…
Light-cone feature selection in methane hyperspectral images
Artur Miroszewski, Jakub Nalepa, Agata M. Wijata
Hyperspectral images (HSIs) capture detailed spectral information across numerous contiguous bands, enabling the extraction of intrinsic characteristics of scanned objects and area…
To center or not to center? Hyperspectral data vs. quantum covariance matrices
Artur Miroszewski, Jakub Nalepa, Agata M. Wijata
We highlight how the normalization required for embedding data in quantum states affects data centering, which can significantly influence quantum amplitude-encoded covarianc…