Quantum kernel methods match or exceed classical kernels on real-valued SAR chips for vessel classification but overfit and underperform when encoding complex-valued SAR data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
Experimental imbibition data on four porous materials are pre-processed with a monotonicity-preserving fit and used to calibrate a PDE model of capillary absorption.
citing papers explorer
-
Maritime object classification with SAR imagery using quantum kernel methods
Quantum kernel methods match or exceed classical kernels on real-valued SAR chips for vessel classification but overfit and underperform when encoding complex-valued SAR data.
-
Data-Informed Mathematical Characterization of Absorption Properties in Artificial and Natural Porous Materials
Experimental imbibition data on four porous materials are pre-processed with a monotonicity-preserving fit and used to calibrate a PDE model of capillary absorption.