Metric Learning

Improved Error Bounds for Tree Representations of Metric Spaces NeurIPS 2016 Improved Hamming Distance Search Using Variable Length Substrings CVPR 2016 Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls Interspeech 2016 Joint Probabilistic Matching Using m-Best Solutions CVPR 2016 k*-Nearest Neighbors: From Global to Local NeurIPS 2016 Large Margin Discriminant Dimensionality Reduction in Prediction Space NeurIPS 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Learning a Discriminative Null Space for Person Re-Identification CVPR 2016 Learning a Metric Embedding for Face Recognition using the Multibatch Method NeurIPS 2016 Learning Deep Embeddings with Histogram Loss NeurIPS 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016 Learning Deep Structure-Preserving Image-Text Embeddings CVPR 2016 Learning Distance Metrics for Multi-Label Classification ACML 2016 Learning Feature Aware Metric ACML 2016 Learning Granger Causality for Hawkes Processes ICML 2016 Learning Kernels with Random Features NeurIPS 2016 Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016 Learning Reconstruction-Based Remote Gaze Estimation CVPR 2016 Learning to Assign Orientations to Feature Points CVPR 2016 Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016 Linear Relaxations for Finding Diverse Elements in Metric Spaces NeurIPS 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System Interspeech 2016 Matching Networks for One Shot Learning NeurIPS 2016 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016