Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Robust Distance Metric Learning via Bayesian Inference
regularized distance metric learning : theory and algorithm .
A Survey on Metric Learning for Feature Vectors and Structured Data
Survey on distance metric learning and dimensionality reduction in data mining
Learning a Mahalanobis Metric from Equivalence Constraints
Learning a Mahalanobis distance metric for data clustering and classification
A Geometric take on Metric Learning
Semi-supervised distance metric learning based on local linear regression for data clustering
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Distance Metric Learning with Application to Clustering with Side-Information
Metric Learning and Manifolds Metric Learning and Manifolds : Preserving the Intrinsic Geometry
Online and batch learning of pseudo-metrics
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Non-linear Metric Learning
Geometric Mean Metric Learning
Hybrid Euclidean-and-Riemannian Metric Learning for Image Set Classification
A multi-task framework for metric learning with common subspace
The Kernel Trick for Distances
Efficient Learning of Mahalanobis Metrics for Ranking
Rank-based distance metric learning: An application to image retrieval
Cross-domain metric learning based on information theory
WSABIE: Scaling Up to Large Vocabulary Image Annotation
Victims of cybercrime in Europe: a review of victim surveys
Microstructure near corners of continuous-cast steel slabs showing three-dimensional frozen meniscus and hooks
Palliative pelvic exenteration for patients with gynecological malignancies
Scalable and Accurate Graph Clustering and Community Structure Detection