Sentiment Analysis via Trustworthy Label Enhancement for Consumer Electronics Applications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3438841
Abstract: Consumer electronics are becoming increasingly popular in our daily life. Enabled with Artificial Intelligence (AI) of Things (AIoT), consumer electronics can autonomously analyze user data and learn user preferences. AIoT has empowered various personal consumer… read more here.
Keywords: consumer; emotion; label enhancement; consumer electronics ... See more keywords
Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3261909
Abstract: Vein biometrics is a high-security and privacy-preserving identification technology that has received increasing attentions. Although deep neural networks (DNNs), such as convolutional neural networks (CNNs), have been investigated for vein recognition and achieved a significant… read more here.
Keywords: vein recognition; palm vein; msvt; label ... See more keywords
Trusted-Data-Guided Label Enhancement on Noisy Labels.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3162316
Abstract: Label distribution covers a certain number of labels, representing the degree to which each label describes the instance. Label enhancement (LE) is a procedure of recovering the label distribution from the logical labels in the… read more here.
Keywords: noise; trusted data; label distribution; label enhancement ... See more keywords
Sequential Label Enhancement.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3214610
Abstract: Label distribution learning (LDL) is a novel machine learning paradigm for solving ambiguous tasks, where the degree to which each label describing the instance is ambiguous. However, obtaining the label distribution is high cost and… read more here.
Keywords: label distribution; label enhancement; label; sequential label ... See more keywords
Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3352285
Abstract: Partial multilabel learning (PML) addresses the issue of noisy supervision, which contains an overcomplete set of candidate labels for each instance with only a valid subset of training data. Using label enhancement techniques, researchers have… read more here.
Keywords: dimensionality reduction; space; label enhancement; multilabel ... See more keywords