The following pages link to Metric learning: a survey (Q2872494):
Displaying 50 items.
- Geometry preserving multi-task metric learning (Q374164) (← links)
- Metric learning for image alignment (Q408770) (← links)
- Real-valued embeddings and sketches for fast distance and similarity estimation (Q508585) (← links)
- Distance metric learning by minimal distance maximization (Q622006) (← links)
- A boosting approach for supervised Mahalanobis distance metric learning (Q645912) (← links)
- Fast generalization rates for distance metric learning. Improved theoretical analysis for smooth strongly convex distance metric learning (Q669277) (← links)
- Extended box clustering for classification problems (Q724605) (← links)
- Generalized iterative RELIEF for supervised distance metric learning (Q975216) (← links)
- Large margin nearest local mean classifier (Q1048802) (← links)
- Iterative 3D shape classification by online metric learning (Q1632342) (← links)
- Survey on distance metric learning and dimensionality reduction in data mining (Q1711231) (← links)
- Distance metric learning by knowledge embedding (Q1886634) (← links)
- Deep metric learning using triplet network (Q2027237) (← links)
- Ground metric learning on graphs (Q2033291) (← links)
- Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels (Q2071309) (← links)
- Metric-guided multi-task learning (Q2081580) (← links)
- Dependence of variance on covariate design in nonparametric link regression (Q2105389) (← links)
- A nearest-neighbor search model for distance metric learning (Q2123495) (← links)
- Predictive stochastic programming (Q2127363) (← links)
- Learning a distance metric from relative comparisons between quadruplets of images (Q2187430) (← links)
- Unsupervised representation learning with minimax distance measures (Q2217399) (← links)
- A new class of metrics for learning on real-valued and structured data (Q2218351) (← links)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (Q2218403) (← links)
- Weight selection strategies for ordered weighted average based fuzzy rough sets (Q2224810) (← links)
- Sparse distance metric learning (Q2259733) (← links)
- Supervised distance metric learning through maximization of the Jeffrey divergence (Q2290334) (← links)
- Key time steps selection for CFD data based on deep metric learning (Q2334460) (← links)
- Local generalized quadratic distance metrics: application to the \(k\)-nearest neighbors classifier (Q2418363) (← links)
- Metric learning by discriminant neighborhood embedding (Q2476975) (← links)
- Improved learning of Riemannian metrics for exploratory analysis (Q2485231) (← links)
- Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval (Q2498685) (← links)
- A physically constrained variational autoencoder for geochemical pattern recognition (Q2676496) (← links)
- Distance metric learning for large margin nearest neighbor classification (Q2880882) (← links)
- Sparse distance metric learning with \(L1\)-norm constraint for one-class samples in high-dimensional spaces and its application (Q2919745) (← links)
- (Q2934001) (← links)
- Multiple kernel geometric mean metric learning for heterogeneous data (Q3175603) (← links)
- The Riemannian and Affine Geometry of Facial Expression and Action Recognition (Q3300560) (← links)
- The analysis from nonlinear distance metric to kernel-based prescription prediction system (Q3383188) (← links)
- LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications (Q4592561) (← links)
- (Q5088977) (← links)
- Metric Learning via Cross-Validation (Q5089466) (← links)
- (Q5149034) (← links)
- (Q5152646) (← links)
- Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory (Q5157150) (← links)
- Metric Learning (Q5175665) (← links)
- Safe Triplet Screening for Distance Metric Learning (Q5214409) (← links)
- Indefinite Proximity Learning: A Review (Q5380326) (← links)
- Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint (Q5382487) (← links)
- Structural, Syntactic, and Statistical Pattern Recognition (Q5466414) (← links)
- Algorithmic Learning Theory (Q5897386) (← links)
