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1. GFML: Gravity function for metric learning NSTL国家科技图书文献中心

Hoyoon Byun |  Sungjun Lim... -  《Engineering Applications of Artificial Intelligence》 - 2025,139(Jan. Pt.A) - 109463.1~109463.11 - 共11页

摘要: information. A metric learning algorithm that captures the |  machine learning. Metric learning may become biased |  ones, i.e., metric learning may be vulnerable in an |  metric learning (GFML) that captures the relationship | , enabling robust metric learning on imbalanced datasets
关键词: Attention |  Dot-product |  Gravity function |  Metric learning |  Recommender system

2. Ontology-Guided Deep Metric Learning and Applications to Obstetrics NSTL国家科技图书文献中心

Jules Bonnard |  Arnaud Dapogny... -  《Pattern Recognition,Part IX》 -  International Conference on Pattern Recognition - 2025, - 353~367 - 共15页

摘要: number of experts in the field, but deep learning |  learning better structured embedding spaces. In this vein |  the higher-order annotations in a Deep Metric |  Learning (DML) framework. We then build on the Expert | Obstetrics and gynecology (OB/GYN), branches
关键词: Deep metric learning |  Medical imaging |  Hierarchical annotations

3. Unsupervised Person Re-ID Based on Nonlinear Asymmetric Metric Learning NSTL国家科技图书文献中心

Yue Liu |  Guizhen Chen... -  《Pattern Recognition and Computer Vision,Part XV》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 523~536 - 共14页

摘要: based on asymmetric metric learning with kernel |  function is introduced into asymmetric metric learning |  Re-ID) based on traditional asymmetric metric |  learning faces the problems of data distribution |  distribution constraint is introduced into asymmetric metric
关键词: Unsupervised person re-identification |  Asymmetric metric learning |  Data distribution constraints |  Gaussian kernel function

4. Capsule Embedding and Emotional Metric Learning for Facial Expression Recognition NSTL国家科技图书文献中心

Jiajing Hu |  Yu Zhou -  《Intelligent Robotics and Applications,Part X》 -  International Conference on Intelligent Robotics and Applications - 2025, - 99~106 - 共8页

摘要: deep metric learning. First, the capsule neural |  emotions. Then, a new emotional metric loss function was |  emotional metric loss function also categorizes the seven | Facial expression recognition (FER) is a |  challenging task of computer vision and artificial
关键词: Capsule neural network |  Facial expression recognition |  Metric learning

5. Metric learning-based generalized Gaussian kernel for nonlinear classification NSTL国家科技图书文献中心

Yidan Wang |  Liming Yang -  《Engineering Applications of Artificial Intelligence》 - 2025,139(Jan. Pt.B) - 109605.1~109605.15 - 共15页

摘要:Metric learning and kernel learning have |  metric learning. Specifically, in the first stage, a |  robust metric is trained by applying a robust loss and |  metric. This is an adaptive kernel and its main |  attracted a lot of interest for nonlinear classifications
关键词: Metric learning |  Kernel learning |  Nonlinear classification |  Support vector machine |  Artificial intelligence technique

6. Probabilistic deep metric learning for hyperspectral image classification NSTL国家科技图书文献中心

Wang, Chengkun |  Zheng, Wenzhao... -  《Pattern Recognition》 - 2025,157 - 共12页

摘要: metric learning (PDML) framework for hyperspectral |  metric to model the distance between distributions. We | This paper proposes a probabilistic deep |  image classification (HSIC). The core problem for HSIC |  is the spectral variability between intraclass
关键词: Hyperspectral image classification |  Deep learning |  Probabilistic metric learning

7. Sound source localization via distance metric learning with regularization NSTL国家科技图书文献中心

Liu, Mingmin |  Lu, Zhihua... -  《Signal Processing》 - 2025,227 - 共9页

摘要: distance metric learning algorithm, that is, by means of |  learning algorithms maintain strong performance across a |  diverse to achieve the full potential of deep learning |  deep learning algorithms in diverse acoustic | Sound source localization (SSL) or simply
关键词: DOA classification |  Sound source localization |  Distance metric learning |  Kernel method

8. Entropic Semi-Supervised Dimensionality Reduction for Distance Metric Learning NSTL国家科技图书文献中心

Levada, Alexandre L.... -  《International journal of uncertainty, fuzziness and knowledge-based systems》 - 2025,33(2) - 219~234 - 共16页

摘要:Distance metric learning and nonlinear |  dimensionality reduction are intrinsically related, since they |  are both different perspectives of the same |  fundamental problem: to learn compact and meaningful data |  representations for classification and visualization. In this
关键词: Dimensionality reduction |  Semi supervised learning |  Statistical divergences |  Metric learning

9. A unified multimodal classification framework based on deep metric learning NSTL国家科技图书文献中心

Peng, Liwen |  Jian, Songlei... -  《Neural Networks》 - 2025,181 - Article 106747~Article 106747 - 共12页

摘要: metric learning to mine latent characteristics within |  essential role in multimodal machine learning, aiming to |  construct the multimodal learning scheme based on deep |  multimodal data. Specifically, we design the metric-based |  triplet learning to extract the intra-modal
关键词: Multimodal classification |  Deep metric learning |  Multimodal learning |  Fake news detection |  Sentiment analysis

10. Universal bovine identification via depth data and deep metric learning NSTL国家科技图书文献中心

Sharma, Asheesh |  Randewich, Lucy... -  《Computers and Electronics in Agriculture》 - 2025,229 - 共16页

摘要: learning system for accurately identifying individual |  previous work, this paper introduces a deep-metric |  learning method for cattle identification using depth | This paper proposes and evaluates, for the |  first time, a top-down (dorsal view), depth-only deep
关键词: Bovine identification |  Depth maps |  Precision livestock farming |  Deep metric learning
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