Pages that link to "Item:Q975219"
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The following pages link to Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data (Q975219):
Displaying 21 items.
- Semi-supervised clustering with discriminative random fields (Q454430) (← links)
- Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction (Q454445) (← links)
- A novel multiset integrated canonical correlation analysis framework and its application in feature fusion (Q632585) (← links)
- Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions (Q888561) (← links)
- Semi-supervised clustering with metric learning: an adaptive kernel method (Q962673) (← links)
- Kernel-based metric learning for semi-supervised clustering (Q976661) (← links)
- Active constrained fuzzy clustering: a multiple kernels learning approach (Q1677205) (← links)
- Pairwise constraints based multiview features fusion for scene classification (Q1760419) (← links)
- Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition (Q1942726) (← links)
- Learning a metric when clustering data points in the presence of constraints (Q2183649) (← links)
- Fusion of geochemical and remote-sensing data for lithological mapping using random forest metric learning (Q2238097) (← links)
- Supervised distance metric learning through maximization of the Jeffrey divergence (Q2290334) (← links)
- Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints (Q2369641) (← links)
- Locally linear metric adaptation with application to semi-supervised clustering and image retrieval (Q2495918) (← links)
- Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval (Q2498685) (← links)
- PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning (Q2673341) (← links)
- A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability (Q3536236) (← links)
- LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications (Q4592561) (← links)
- Indefinite Proximity Learning: A Review (Q5380326) (← links)
- Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization (Q5383793) (← links)
- Algorithmic Learning Theory (Q5897386) (← links)
