Results 51 to 60 of about 7,006,651 (299)
IEEE Access, 2021 Metric learning has significantly improved machine learning applications such as face re-identification and image classification using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classifiers.
Ibrahim Omara +5 more
doaj +1 more source
Content-Based Management of Human Motion Data: Survey and Challenges
IEEE Access, 2021 Digitization of human motion using skeleton representations offers exciting possibilities for a large number of applications but, at the same time, requires innovative techniques for their effective and efficient processing.
Jan Sedmidubsky +3 more
doaj +1 more source
Deep Metric Learning for Proteomics [PDF]
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020 Deep learning has become an innovative tool for predicting the properties of a protein. However, obtaining an accurate predictive model using deep learning methods typically requires a large amount of labelled data, which is expensive and time-consuming to accumulate.
Lennox, Mark +2 more
openaire +4 more sources
Object Tracking via Online Metric Learning
, 2012 By considering visual tracking as a similarity matching problem, we propose a self-supervised tracking method that incorporates adaptive metric learning and semi-supervised learning into the framework of object tracking.
Yuan JS(袁浚菘) +8 more
core +1 more source
UNIQUE FIXED POINT THEOREMS FOR CONTRACTIVE MAPS TYPE IN T 0 -QUASI-METRIC SPACES [PDF]
, 2014 In [2], Agyingi proved that every generalized contractive mapping defined in a q-spherically complete T 0 -ultra-quasi-metric space has a unique fixed point.
Yae ́ Ulrich Gaba
core +1 more source
Kernelised reference‐wise metric learning
Electronics Letters, 2017 Unlike the doublet or triplet constraints, a novel kernelised reference‐wise metric learning is proposed by constructing reference‐wise constraints, which contain similarity information of each sample to all reference samples.
Meng Wu, Kai Luo, Daijin Li, Jun Zhou
doaj +1 more source
Multi-View Cosine Similarity Learning with Application to Face Verification
Mathematics, 2022 An instance can be easily depicted from different views in pattern recognition, and it is desirable to exploit the information of these views to complement each other.
Zining Wang, Jiawei Chen, Junlin Hu
doaj +1 more source
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
, 2022 To be tractable and robust to data noise, existing metric learning algorithms commonly rely on PCA as a pre-processing step. How can we know, however, that PCA, or any other specific dimensionality reduction technique, is the method of choice for the ...
Salzmann, Mathieu +2 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Agriculture, 2023 As machine vision technology has advanced, pig face recognition has gained wide attention as an individual pig identification method. This study establishes an improved ResNAM network as a backbone network for pig face image feature extraction by ...
Rong Wang +3 more
doaj +1 more source