Pages that link to "Item:Q976661"
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The following pages link to Kernel-based metric learning for semi-supervised clustering (Q976661):
Displaying 22 items.
- Distance metric learning guided adaptive subspace semi-supervised clustering (Q352041) (← links)
- Semi-supervised clustering with discriminative random fields (Q454430) (← links)
- Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions (Q888561) (← links)
- Iterative category discovery via multiple kernel metric learning (Q903469) (← links)
- Learning a Mahalanobis distance metric for data clustering and classification (Q947985) (← links)
- Semi-supervised clustering with metric learning: an adaptive kernel method (Q962673) (← links)
- Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data (Q975219) (← links)
- Distance metric learning by knowledge embedding (Q1886634) (← links)
- A nearest-neighbor search model for distance metric learning (Q2123495) (← links)
- Learning a metric when clustering data points in the presence of constraints (Q2183649) (← links)
- Learning a distance metric from relative comparisons between quadruplets of images (Q2187430) (← links)
- An efficient method for clustered multi-metric learning (Q2200672) (← links)
- Joint distance and similarity measure learning based on triplet-based constraints (Q2293255) (← 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)
- Kernel-based transition probability toward similarity measure for semi-supervised learning (Q2629842) (← links)
- PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning (Q2673341) (← links)
- Multiple kernel geometric mean metric learning for heterogeneous data (Q3175603) (← links)
- Convergence analysis of an intrinsic steepest descent method on semi-supervised metric learning (Q3176052) (← links)
- The analysis from nonlinear distance metric to kernel-based prescription prediction system (Q3383188) (← links)
- A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability (Q3536236) (← links)
- Algorithmic Learning Theory (Q5897386) (← links)
