Predicting Image Emotion Distribution by Learning Labels’ Correlation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939681
Abstract: Image emotion analysis attracts considerable attention with the increasing demanding of opinion mining in social networks. Emotion evoked by an image is always ambiguous for emotion’s subjectivity. Different from previous researches on image emotion classification,… read more here.
Keywords: image emotion; predicting image; emotion; image ... See more keywords
Fast Label Enhancement for Label Distribution Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3092406
Abstract: Label Distribution Learning (LDL) has attracted increasing research attentions due to its potential to address the label ambiguity problem in machine learning and success in many real-world applications. In LDL, it is usually expensive to… read more here.
Keywords: distribution learning; label distributions; training instances; label distribution ... See more keywords
Re-weighting Large Margin Label Distribution Learning for Classification.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3082623
Abstract: Label ambiguity has attracted quite some attention among the machine learning community. The latterly proposed Label Distribution Learning (LDL) can handle label ambiguity and has found wide applications in real classification problems. In the training… read more here.
Keywords: label; label distribution; classification; large margin ... See more keywords
Supervised Approach to Identify Autism Spectrum Neurological Disorder via Label Distribution Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4464603
Abstract: Autism Spectrum Disorder (ASD) is a complicated collection of neurodevelopmental illnesses characterized by a variety of developmental defects. It is a binary classification system that cannot cope with reality. Furthermore, ASD, data label noise, high… read more here.
Keywords: distribution learning; autism spectrum; distribution; label distribution ... See more keywords
Lexicon-Enhanced Multi-Task Convolutional Neural Network for Emotion Distribution Learning
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11040181
Abstract: Emotion distribution learning (EDL) handles emotion fuzziness by means of the emotion distribution, which is an emotion vector that quantitatively represents a set of emotion categories with their intensity of a given instance. Despite successful… read more here.
Keywords: distribution learning; emotion distribution; emotion; multi task ... See more keywords