Metric Learning

Global graph kernels using geometric embeddings ICML 2014 Ground Metric Learning JMLR 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Large-Scale Visual Font Recognition CVPR 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014 Learning Graphs with a Few Hubs ICML 2014 Learning Scalable Discriminative Dictionary with Sample Relatedness CVPR 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Local Ordinal Embedding ICML 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Measuring Distance Between Unordered Sets of Different Sizes CVPR 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Multilabel Ranking with Inconsistent Rankers CVPR 2014 Multi-Output Learning for Camera Relocalization CVPR 2014 Multivariate Maximal Correlation Analysis ICML 2014 Multi-View Super Vector for Action Recognition CVPR 2014 Nearest Neighbors Using Compact Sparse Codes ICML 2014