Results 41 to 50 of about 201,849 (264)

Adversarial Similarity Metric Learning for Kinship Verification

IEEE Access, 2019
Given a pair of facial images, it is an interesting yet challenging problem to determine if there is a kin relation between them. Recent research on that topic has made encouraging progress by learning a kin similarity metric from kinship data.
Zeqiang Wei, Min Xu, Lin Geng, Haoming Liu, Hua Yin   +4 more
doaj   +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

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, Devereux, Barry, Robertson, Neil   +2 more
openaire   +4 more sources

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-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

A Hybrid Model Combining Learning Distance Metric and DAG Support Vector Machine for Multimodal Biometric Recognition

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, Ahmed Hagag, Souleyman Chaib, Guangzhi Ma, Fathi E. Abd El-Samie, Enmin Song   +5 more
doaj   +1 more source

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +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, Petr Elias, Petra Budikova, Pavel Zezula   +3 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source