Metric Learning
Author:
Publisher
Morgan & Claypool Publishers LLC
Subject
Artificial Intelligence
Reference228 articles.
1. A survey of the state of the art in learning the kernels
2. Scale-sensitive dimensions, uniform convergence, and learnability
3. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
4. Toward a unified theory of similarity and recognition.
5. Optimization with Sparsity-Inducing Penalties
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1. Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification;Knowledge and Information Systems;2024-09-12
2. BT2: Backward-compatible Training with Basis Transformation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
3. Detection of Abnormality in Cognitive Test Scores Using Metric Learning;2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML);2023-08-04
4. From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-08
5. Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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