Results 21 to 30 of about 826,117 (259)
Pacing Electrocardiogram Detection With Memory-Based Autoencoder and Metric Learning
Frontiers in Physiology, 2021 Remote ECG diagnosis has been widely used in the clinical ECG workflow. Especially for patients with pacemaker, in the limited information of patient's medical history, doctors need to determine whether the patient is wearing a pacemaker and also ...
Zhaoyang Ge +9 more
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Metric Learning for Individual Fairness [PDF]
, 2020 There has been much discussion concerning how "fairness" should be measured or enforced in classification. Individual Fairness [Dwork et al., 2012], which requires that similar individuals be treated similarly, is a highly appealing definition as it ...
Ilvento, Christina
core +2 more sources
Object Tracking With Structured Metric Learning
IEEE Access, 2019 In this paper, we propose a novel tracking method based on structured metric learning, which takes the advantages of both structured learning and distance metric learning.
Xiaolin Zhao +4 more
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A review on multi-task metric learning
Big Data Analytics, 2018 Distance metric plays an important role in machine learning which is crucial to the performance of a range of algorithms. Metric learning, which refers to learning a proper distance metric for a particular task, has attracted much attention in machine ...
Peipei Yang, Kaizhu Huang, Amir Hussain
doaj +1 more source
IEEE Access, 2021 Many object re-identification (Re-ID) methods that depend on large-scale training datasets have been proposed in recent years. However, the performance of these methods degrades dramatically when insufficient training data are available.
Sheng-Hung Fan +3 more
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Gong-kuang zidonghua, 2023 In the traditional personnel re-recognition method in coal mine underground based on metric learning, because metric learning ignores the absolute distance between positive and negative samples, the gradient of the loss function disappears or disperses ...
ZHANG Liya, WANG Yu, HAO Bonan
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Multi-Sensors System and Deep Learning Models for Object Tracking
Sensors, 2023 Autonomous navigation relies on the crucial aspect of perceiving the environment to ensure the safe navigation of an autonomous platform, taking into consideration surrounding objects and their potential movements. Consequently, a fundamental requirement
Ghina El Natour +2 more
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, 2022 The DARPA Lifelong Learning Machines (L2M) program seeks to yield advances in artificial intelligence (AI) systems so that they are capable of learning (and improving) continuously, leveraging data on one task to improve performance on another, and doing so in a computationally sustainable way.
New, Alexander +3 more
openaire +2 more sources
A Multi-Layer Feature Fusion Method for Few-Shot Image Classification
Sensors, 2023 In image classification, few-shot learning deals with recognizing visual categories from a few tagged examples. The degree of expressiveness of the encoded features in this scenario is a crucial question that needs to be addressed in the models being ...
Jacó C. Gomes +2 more
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Deep metric learning to rank [PDF]
, 2019 We propose a novel deep metric learning method by revisiting the learning to rank approach. Our method, named FastAP, optimizes the rank-based Average Precision measure, using an approximation derived from distance quantization.
Cakir, Fatih +4 more
core +1 more source