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Robustness and Generalization for Metric Learning
Metric learning Algorithmic robustness Generalization bounds
2012/11/23
Metric learning has attracted a lot of interest over the last decade, but little work has been done about the generalization ability of such methods. In this paper, we address this issue by proposing ...
Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2013/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
Efficient lp-Norm Multiple Feature Metric Learning for Image Categorization
Algorithms Performance Experimentation
2013/7/24
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
Coupled Metric Learning for Face Recognition with Degraded Images
Coupled Metric Learning Face Recognition Degraded Images
2013/7/16
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...
Coupled metric learning for face recognition with degraded images
Coupled metric learning face recognition
2010/12/20
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...