Pages that link to "Item:Q2384155"
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The following pages link to Invariant kernel functions for pattern analysis and machine learning (Q2384155):
Displaying 12 items.
- On degeneracy and invariances of random fields paths with applications in Gaussian process modelling (Q899361) (← links)
- Rotation-invariant HOG descriptors using Fourier analysis in polar and spherical coordinates (Q903448) (← links)
- Rank-based classifiers for extremely high-dimensional gene expression data (Q1630848) (← links)
- Argumentwise invariant kernels for the approximation of invariant functions (Q1931809) (← links)
- Machine learning as a universal tool for quantitative investigations of phase transitions (Q2295509) (← links)
- Indefinite kernels in least squares support vector machines and principal component analysis (Q2397170) (← links)
- Data rotation and its influence on quantum encoding (Q2688162) (← links)
- Learning translation invariant kernels for classification (Q2896081) (← links)
- On invariance and selectivity in representation learning (Q4603721) (← links)
- (Q4633035) (← links)
- (Q5053164) (← links)
- The Poincaré metric and the Bergman theory (Q6540012) (← links)
