An active multi-class classification using privileged information and belief function
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00991-w
Abstract: Many classification models, based on support vector machine, have been designed so far to improve classification performance in both supervised and semi-supervised learning. One of the studies which is done in this case is about… read more here.
Keywords: belief function; function active; privileged information; classification ... See more keywords
Learning with privileged information for photo aesthetic assessment
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DOI: 10.1016/j.neucom.2020.04.142
Abstract: Abstract Privileged information (PI), known as teacher providing students helpful comments, comparisons, and explanations to improve students’ performance, has been widely applied in various machine learning tasks, resulting in great success. Existing approaches utilizing attributes… read more here.
Keywords: aesthetic assessment; information; privileged information; photo aesthetic ... See more keywords
Person Re-Identification With Metric Learning Using Privileged Information
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DOI: 10.1109/tip.2017.2765836
Abstract: Despite the promising progress made in recent years, person re-identification remains a challenging task due to complex variations in human appearances from different camera views. This paper presents a logistic discriminant metric learning method for… read more here.
Keywords: information; privileged information; space; metric learning ... See more keywords
V-SVR+: Support Vector Regression With Variational Privileged Information
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DOI: 10.1109/tmm.2021.3060955
Abstract: Many regression tasks encounter an asymmetric distribution of information between training and testing phases where the additional information available in training, the so-called privileged information (PI), is often inaccessible in testing. In practice, the privileged… read more here.
Keywords: information; support vector; privileged information; svr ... See more keywords
LR-SVM+: Learning Using Privileged Information with Noisy Labels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3116417
Abstract: The paradigm of Learning Using Privileged Information (LUPI) always assumes that labels are annotated precisely. However, in practice, this assumption may be violated, as the labels may be heavily noisy, which inevitably degenerates the performance… read more here.
Keywords: information; noisy labels; privileged information; learning using ... See more keywords