Results 61 to 70 of about 16,769 (297)
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images [PDF]
, 2023 This paper proposes a novel uncertainty-adjusted label transition (UALT) method for weakly supervised solar panel mapping (WS-SPM) in aerial images. In weakly supervised learning (WSL), the noisy nature of pseudo labels (PLs) often leads to poor model ...
Hu, J, Zhou, J, Jia, X, Zhang, J
core +1 more source
Weakly supervised learning of semantic colour terms
IET Computer Vision, 2014 Recognition of visual attributes in images allows an image's information content to be expressed textually. This has benefits for web search and image archiving, especially since visual attributes transcend language barriers.
David Hanwell, Majid Mirmehdi
doaj +1 more source
Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
IEEE Access, 2023 Weakly supervised object localization (WSOL) tasks aim to classify and locate a single object under the supervision of only image-level labels. Pseudo-supervised learning methods have been shown to be effective for WSOL.
Kangbo Sun, Jie Zhu
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Unified Risk Analysis for Weakly Supervised Learning
Trans. Mach. Learn. Res., 2023 Among the flourishing research of weakly supervised learning (WSL), we recognize the lack of a unified interpretation of the mechanism behind the weakly supervised scenarios, let alone a systematic treatment of the risk rewrite problem, a crucial step in the empirical risk minimization approach.
Chao-Kai Chiang, Masashi Sugiyama
openaire +3 more sources
Learning Multimodal Latent Attributes [PDF]
, 2014 —The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via ...
Yanwei Fu +7 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Object detection is challenging in high spatial resolution (HSR) remote sensing images that have a complex background and irregular object locations.
Youyou Li +3 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Remote SensingNational Forest Inventories (NFIs) provide valuable land cover (LC) information but often lack spatial continuity and an adequate update frequency. Satellite-based remote sensing offers a viable alternative, employing machine learning to extract thematic
Daniel Moraes +2 more
doaj +1 more source
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Automatic annotation for weakly supervised learning of detectors [PDF]
, 2012 PhDObject detection in images and action detection in videos are among the most widely studied computer vision problems, with applications in consumer photography, surveillance, and automatic media tagging. Typically, these standard detectors are fully
Siva, Parthipan
core