在机器学习中,distance metric learning(也称 metric learning,度量学习)是一个很典型的任务,通常与很多熟知的 metric-based methods(如 KNN、K-means 等)结合起来使用以实现分类或者聚类 ,效果通常非常不错。很多机器学习方面的研究已经发现:如果 distance metric 学...
基于度量学习的方法(metric-learning based methods,学习一个好的度量来计算query images和support set之间的相似度)。 在metric-learning based methods中,如何学习好的特征表示(feature embedding representation)和相似度度量( similarity metric)是核心。 对于特征表示,ProtoNet和RelationNet采用图像级别的特征表示,由于数据...
However, CAM cannot be adopted directly for metric learning, because there is no fully-connected layer in metric-learning-based methods. To solve this problem, we propose a Distance-based Class Activation Map (Dist-CAM) in this paper, which can be applied to metric learning directly. ...
A data-driven metric learning-based scheme for unsupervised network anomaly detectionNetwork anomaly detectionMetric learningLinear feature transformationClustering methodsSimilarity/dissimilarity constraintsMost network anomaly detection systems (NADSs) rely on the distance between the connections' feature vectors ...
Re-identification of individuals across camera networks with limited or no overlapping fields of view remains challenging in spite of significant research efforts. In this paper, we propose the use, and extensively evaluate the performance, of four alter
Metric learning-based methods, which yield great performance and show considerable potential to improve the performance of hyperspectral image processing, ... Y Dong,Y Zhang,B Du - 《IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing》 被引量: 0发表: 2022年 Metric le...
【李宏毅2020 ML/DL】补充:Meta Learning - Metric-based Approach & Train+Test as RNN,程序员大本营,技术文章内容聚合第一站。
4. Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking(基于记忆注意力机制的潜在的关系度量学习的协同排序方法) 作者:Yi Tay,Anh Tuan Luu,Siu Cheung Hui 摘要:This paper proposes a new neural architecture for collaborative ranking with implicit feedback. Our model, LR...
Compared to these methods, this paper proposes ... Y Dong,L Zhen,SZ Li 被引量: 142发表: 2014年 Kernelized Relaxed Margin Components Analysis for Person Re-identification Person re-identification across disjoint camera views plays a significant role in video surveillance. Several margin-based ...
Existing methods are restricted in learning the controllablefunctions under the supervision of known degradation types and levels.They usually suf f er from a severe performance drop when the real degra-dation is dif f erent from their assumptions. Such a limitation is due to thecomplexity of ...