Pages that link to "Item:Q411964"
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The following pages link to Dimensionality reduction by mixed kernel canonical correlation analysis (Q411964):
Displaying 15 items.
- Deep kernel dimensionality reduction for scalable data integration (Q282928) (← links)
- Kernel-based conditional canonical correlation analysis via modified Tikhonov regularization (Q326761) (← links)
- A trace ratio maximization approach to multiple kernel-based dimensionality reduction (Q461199) (← links)
- Local kernel canonical correlation analysis with application to virtual drug screening (Q652382) (← links)
- Kernel canonical correlation analysis for data combination of multiple-source datasets (Q830268) (← links)
- Large margin subspace learning for feature selection (Q888576) (← links)
- Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition (Q898383) (← links)
- Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis (Q1669702) (← links)
- Multiple kernel spectral regression for dimensionality reduction (Q1789907) (← links)
- Dimensionality reduction based on kCCC and manifold learning (Q2051142) (← links)
- A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval (Q2179300) (← links)
- Multiple kernel dimensionality reduction via ratio-trace and marginal Fisher analysis (Q2298714) (← links)
- Multi-manifold discriminant Isomap for visualization and classification (Q2416973) (← links)
- A novel discriminant minimum class locality preserving canonical correlation analysis and its applications (Q2515279) (← links)
- FSPL: a meta-learning approach for a filter and embedded feature selection pipeline (Q6100072) (← links)
