Results 41 to 50 of about 187,533 (264)

Adaptive Multi-Proxy for Remote Sensing Image Retrieval

Remote Sensing, 2022
With the development of remote sensing technology, content-based remote sensing image retrieval has become a research hotspot. Remote sensing image datasets not only contain rich location, semantic and scale information but also have large intra-class ...
Xinyue Li, Song Wei, Jian Wang, Yanling Du, Mengying Ge   +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   +1 more source

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

Guided Deep Metric Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Deep Metric Learning (DML) methods have been proven relevant for visual similarity learning. However, they sometimes lack generalization properties because they are trained often using an inappropriate sample selection strategy or due to the difficulty of the dataset caused by a distributional shift in the data.
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez   +5 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

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +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-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

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source