Modal Regression-Based Graph Representation for Noise Robust Face Hallucination.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3106773
Abstract: Manifold learning-based face hallucination technologies have been widely developed during the past decades. However, the conventional learning methods always become ineffective in noise environment due to the least-square regression, which usually generates distorted representations for… read more here.
Keywords: regression; representation; face; face hallucination ... See more keywords
Modal-Regression-Based Broad Learning System for Robust Regression and Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3256999
Abstract: A novel neural network, namely, broad learning system (BLS), has shown impressive performance on various regression and classification tasks. Nevertheless, most BLS models may suffer serious performance degradation for contaminated data, since they are derived… read more here.
Keywords: learning system; modal regression; regression; broad learning ... See more keywords
Robust Variable Selection and Estimation Based on Kernel Modal Regression
Sign Up to like & getrecommendations! Published in 2019 at "Entropy"
DOI: 10.3390/e21040403
Abstract: Model-free variable selection has attracted increasing interest recently due to its flexibility in algorithmic design and outstanding performance in real-world applications. However, most of the existing statistical methods are formulated under the mean square error… read more here.
Keywords: modal regression; selection; kernel modal; variable selection ... See more keywords