Multi-modal self-paced learning for image classification
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.075
Abstract: Abstract Self-paced learning (SPL) is a powerful framework, where samples from easy ones to more complex ones are gradually involved in the learning process. Its superiority is significant when dealing with challenging vision tasks, like… read more here.
Keywords: image classification; multi modal; self paced; paced learning ... See more keywords
Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac390
Abstract: More and more evidence indicates that the dysregulations of microRNAs (miRNAs) lead to diseases through various kinds of underlying mechanisms. Identifying the multiple types of disease-related miRNAs plays an important role in studying the molecular… read more here.
Keywords: paced learning; tensor; hypergraph regularization; self paced ... See more keywords
Scene Prior Constrained Self-Paced Learning for Unsupervised Satellite Video Vehicle Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3502136
Abstract: Recently, deep learning has significantly advanced the satellite object detection. However, the effectiveness of these methods heavily relies on abundant and accurate annotations, which are extremely labor-intensive for satellite videos. Meanwhile, the robustness of traditional… read more here.
Keywords: detection; self paced; scene; satellite video ... See more keywords
BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3094744
Abstract: Deep learning (DL) is inherently subject to the requirement of a large amount of well-labeled data, which is expensive and time-consuming to obtain manually. In order to broaden the reach of DL, leveraging free web… read more here.
Keywords: bidirectional self; web; paced learning; web data ... See more keywords
Self-Paced Learning for Images of Antinuclear Antibodies.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2025.3637237
Abstract: Antinuclear antibody (ANA) testing is a critical method for diagnosing autoimmune disorders such as Lupus, Sjögren's syndrome, and scleroderma. Despite its importance, manual ANA detection is slow, labor-intensive, and demands years of training. ANA detection… read more here.
Keywords: self paced; instance; learning images; paced learning ... See more keywords
SPLHRNMTF: robust orthogonal non-negative matrix tri-factorization with self-paced learning and dual hypergraph regularization for predicting miRNA-disease associations
Sign Up to like & getrecommendations! Published in 2024 at "BMC Genomics"
DOI: 10.1186/s12864-024-10729-w
Abstract: MicroRNAs (miRNAs) have been demonstrated to be closely related to human diseases. Studying the potential associations between miRNAs and diseases contributes to our understanding of disease pathogenic mechanisms. As traditional biological experiments are costly and… read more here.
Keywords: disease; self paced; matrix; mirna disease ... See more keywords