Results 41 to 50 of about 7,006,651 (299)

Robustness and generalization for metric learning [PDF]

Neurocomputing, 2015
Metric learning has attracted a lot of interest over the last decade, but the generalization ability of such methods has not been thoroughly studied. In this paper, we introduce an adaptation of the notion of algorithmic robustness (previously introduced by Xu and Mannor) that can be used to derive generalization bounds for metric learning.
Bellet, Aurélien, Habrard, Amaury
openaire   +4 more sources

Information-theoretic metric learning [PDF]

Proceedings of the 24th international conference on Machine learning, 2007
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative entropy between two multivariate Gaussians under constraints on the distance function. We express this problem as a particular Bregman optimization problem---that of minimizing
Jason V. Davis, Brian Kulis, Prateek Jain 0002, Suvrit Sra, Inderjit S. Dhillon   +4 more
openaire   +2 more sources

Learning Compact Metrics for MT [PDF]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Accepted at EMNLP ...
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam   +4 more
openaire   +2 more sources

Adaptive Multi-Proxy for Remote Sensing Image Retrieval

Remote Sensing, 2022
With the development of remote sensing technology, content-based remote sensing image retrieval has become a research hotspot. Remote sensing image datasets not only contain rich location, semantic and scale information but also have large intra-class ...
Xinyue Li, Song Wei, Jian Wang, Yanling Du, Mengying Ge   +4 more
doaj   +1 more source

Attribute-enhanced metric learning for face retrieval

EURASIP Journal on Image and Video Processing, 2018
Metric learning is a significant factor for media retrieval. In this paper, we propose an attribute label enhanced metric learning model to assist face image retrieval.
Yuchun Fang, Qiulong Yuan
doaj   +1 more source

Convexity in quasi-metric spaces [PDF]

, 2012
Includes abstract.Includes bibliographical references.The principal aim of this thesis is to investigate the existence of an injective hull in the categories of T-quasi-metric spaces and of T-ultra-quasi-metric spaces with nonexpansive ...
Otafudu, Olivier Olela
core   +1 more source

LM-Metric: Learned Pair Weighting and Contextual Memory for Deep Metric Learning

Pattern Recognition, 2023
<p>Learned Pair Weighting and Contextual Memory for Deep Metric Learning. </p>
Shiyang Yan, Lin Xu, Xinyao Shu, Zhenyu Lu, Jialie Shen 0001   +4 more
openaire   +2 more sources

Unsupervised Feature Learning With Graph Embedding for View-Based 3D Model Retrieval

IEEE Access, 2019
3D model retrieval is becoming a hot research topic due to its wide applications such as computer-aided design, digital entertainment, and virtual reality.
Yuting Su, Wenhui Li, Weizhi Nie, Dan Song, An-An Liu   +4 more
doaj   +1 more source

Robust Stability of Iterative Learning Control Schemes

, 2007
A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
Mark French, French, Mark
core   +1 more source

Multi-Level Metric Learning Network for Fine-Grained Classification

IEEE Access, 2019
The application of fine-grained image classification can be problematic due to subtle differences between classes. The existing global feature-based methods have worse accuracies than regional feature-based methods, because regional feature-based methods
Jiabao Wang, Yang Li, Zhuang Miao, Xun Zhao, Zhang Rui   +4 more
doaj   +1 more source