Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: From Point to Set: Extend the Learning of Distance Metrics
Distance Metric Learning with Application to Clustering with Side-Information
Distance-based outliers: algorithms and applications
2D Euclidean distance transform algorithms: A comparative survey
distance functions and geodesics on point clouds .
Cross-domain metric learning based on information theory
Semi-supervised distance metric learning for Collaborative Image Retrieval
Dynamic metric learning from pairwise comparisons
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering
Algebraic Distance on Graphs
Computable Elastic Distances between Shapes
matching curves to imprecise point sets using frechet distance .
Weighted Hausdorff Distance: A Loss Function For Object Localization.
Practical and Optimal LSH for Angular Distance
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
Learning an Integrated Distance Metric for Comparing Structure of Complex Networks
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Euclidean Distance Mapping
Collaboratively Regularized Nearest Points for Set Based Recognition.
Computing Geodesic Distances in Tree Space
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
farmers ’ perceptions and knowledge of using waste and wastewater in two peri - urban areas of kathmandu valley of nepal .
Subjective Panoramic Video Quality Assessment Database for Coding Applications
Phase Retrieval by Linear Algebra
Dual Control for Approximate Bayesian Reinforcement Learning Dual Control for Approximate Bayesian Reinforcement Learning
Visual learning and recognition of 3-d objects from appearance