Robust Foot Motion Recognition Using Stride Detection and Weak Supervision-Based Fast Labeling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3075151
Abstract: Foot motion recognition in daily life faces two challenges imposed by traditional machine learning frameworks: how to robustly recognize various foot motions from continuous movements in uncontrolled environments, and how to accurately extract ground truths.… read more here.
Keywords: foot motions; stride detection; foot; weak supervision ... See more keywords
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2724070
Abstract: In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep… read more here.
Keywords: image; weak supervision; histopathology; histopathology image ... See more keywords
Disentangling Normal Aging from Severity of Disease via Weak Supervision on Longitudinal MRI.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2022.3166131
Abstract: The continuous progression of neurological diseases are often categorized into conditions according to their severity. To relate the severity to changes in brain morphometry, there is a growing interest in replacing these categories with a… read more here.
Keywords: via weak; weak supervision; aging severity; disease ... See more keywords
Learning to Detect Salient Object with Multi-source Weak Supervision.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3059783
Abstract: High-cost pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source hardly contain enough information to train a well-performing model. To this end, we introduce a… read more here.
Keywords: salient object; weak supervision; supervision; source ... See more keywords
Spatio-Frequency Decoupled Weak-Supervision for Face Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5903514
Abstract: 3D face reconstruction has witnessed considerable progress in recovering 3D face shapes and textures from in-the-wild images. However, due to a lack of texture detail information, the reconstructed shape and texture based on deep learning… read more here.
Keywords: frequency; reconstruction; weak supervision; face reconstruction ... See more keywords
Rule-Enhanced Active Learning for Semi-Automated Weak Supervision
Sign Up to like & getrecommendations! Published in 2022 at "Artificial intelligence"
DOI: 10.3390/ai3010013
Abstract: A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce… read more here.
Keywords: active learning; weak supervision; supervision; labeling functions ... See more keywords
Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision
Sign Up to like & getrecommendations! Published in 2021 at "Future Internet"
DOI: 10.3390/fi13050114
Abstract: The problem of automatic detection of fake news in social media, e.g., on Twitter, has recently drawn some attention. Although, from a technical perspective, it can be regarded as a straight-forward, binary classification problem, the… read more here.
Keywords: large scale; classification; weak supervision; dataset ... See more keywords