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   Articles with "label relaxation" as a keyword



Regularized Negative Label Relaxation Least Squares Regression for Face Recognition

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recommendations! Published in 2020 at "Neural Processing Letters"

DOI: 10.1007/s11063-020-10219-6

Abstract: Least squares regression (LSR) is widely used for pattern classification. Some variants based on it try to enlarge the margin between different classes to achieve better performance. However, the large margin classifier doesn’t work well… read more here.

Keywords: label relaxation; least squares; squares regression; negative label ... See more keywords

Dynamic Graph Regularization and Label Relaxation-Based Sparse Matrix Regression for Two-Dimensional Feature Selection

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2983829

Abstract: Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression vectors for each classifier and integrates… read more here.

Keywords: matrix; geometry; label relaxation; regression ... See more keywords

Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation

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recommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2021.3135948

Abstract: In the human cognitive system, the emotional feeling is a complicated process. Visual sentiment classification aims to predict the human emotions evoked by different images. In this article, we proposed a novel visual sentiment classification… read more here.

Keywords: visual sentiment; sentiment classification; low rank; label relaxation ... See more keywords

Discriminative Label Relaxed Regression with Adaptive Graph Learning

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recommendations! Published in 2020 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2020/8852137

Abstract: The traditional label relaxation regression (LRR) algorithm directly fits the original data without considering the local structure information of the data. While the label relaxation regression algorithm of graph regularization takes into account the local… read more here.

Keywords: label relaxation; label; regression; graph ... See more keywords