Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Distance metric learning with eigenvalue fine tuning
Bayesian Active Distance Metric Learning
A Riemannian Network for SPD Matrix Learning
Deep Metric Learning via Facility Location
An Efficient Euclidean Distance Transform
Is that you? Metric learning approaches for face identification
Anti-Aliased Euclidean Distance Transform
Deep Cosine Metric Learning for Person Re-Identification
Large margin multi-task metric learning
Riemannian Manifold Learning
Meta-Learning with Adaptive Layerwise Metric and Subspace
Fast Localization of Autonomous Vehicles Using Discriminative Metric Learning
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
K-means with Three different Distance Metrics
On the Euclidean distance of images
Deep Metric Learning with Angular Loss
Low-Rank Kernel Learning with Bregman Matrix Divergences
Duplex Metric Learning for Image Set Classification
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
Deep Metric Learning via Lifted Structured Feature Embedding
Distance Metric Learning: A Comprehensive Survey
Patchmatch stereo - stereo matching with slanted support windows
C2TAM: A Cloud framework for cooperative tracking and mapping
Learning to Cluster for Proposal-Free Instance Segmentation
Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning