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On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods

Numerical AnalysisMathematical ProgrammingPrototype Reduction SchemesLow-rank ApproximationEngineeringData ScienceReproducing Kernel MethodMultilinear Subspace LearningInverse ProblemsDimensionality ReductionPublic HealthKernel MethodApproximation TheoryFunctional Data Analysis