Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Applications of Average Geodesic Distance in Manifold learning
A robust algorithm for point set registration using mixture of Gaussians
Pedestrian Detection via Classification on Riemannian Manifolds
On Computing the Diameter of a Point Set in High Dimensional Euclidean Space
Semi-supervised Kernel Metric Learning Using Relative Comparisons
Deep discriminative manifold learning
Dynamic metric learning from pairwise comparisons
A New Distance Measure for Non-Identical Data with Application to Image Classification
Multi-Label Manifold Learning
An Efficient Euclidean Distance Transform
Riemannian manifold learning for nonlinear dimensionality reduction
Clustering on the unit hypersphere using von mises-fisher distributions
ON SETS OF DISTANCES OF n POINTS IN EUCLIDEAN SPACE
matching curves to imprecise point sets using frechet distance .
Stochastic gradient descent on Riemannian manifolds
Approximating the diameter of a set of points in the Euclidean space
Beyond the point cloud: from transductive to semi-supervised learning
Distances in Classification
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
Assessment of microbiological water quality and its relation to human health in Gaza Governorate, Gaza Strip
Neurodynamic evaluation of the sciatic nerve during neural mobilisation: ultrasound imaging assessment of sciatic nerve movement and the clinical implications for treatment
Visual working memory capacity : from psychophysics and neurobiology to individual differences
Target Detection and Classification Using Seismic and PIR Sensors
Processing and visualization for diffusion tensor MRI