Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01472-x
Abstract: We consider the sparse subspace learning problem where the intrinsic subspace is assumed to be low-dimensional and formed by sparse basis vectors. Confined to a few sparse bases, projecting data to the learned subspace essentially… read more here.
Keywords: large margin; sparse; subspace; functional optimization ... See more keywords
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01362-7
Abstract: Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve good performance on both tasks, they are non-trivial to binarize, due… read more here.
Keywords: proxy embeddings; deep hashing; consistent large; hash consistent ... See more keywords
A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104927
Abstract: The world has experienced epidemics of coronavirus infections several times over the last two decades. Recent studies have shown that using medical imaging techniques can be useful in developing an automatic computer-aided diagnosis system to… read more here.
Keywords: large margin; margin piecewise; linear classifier; deep features ... See more keywords
Generalized Large Margin $k$NN for Partial Label Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3109438
Abstract: To deal with noises in partial label learning (PLL), existing approaches try to perform disambiguation either by identifying the ground-truth label or by averaging the candidate labels. However, these methods can be easily misled by… read more here.
Keywords: partial label; large margin; pll; label ... 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
Large Margin and Local Structure Preservation Sparse Representation Classifier for Alzheimer’s Magnetic Resonance Imaging Classification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.916020
Abstract: Alzheimer’s disease (AD) is a progressive dementia in which the brain shrinks as the disease progresses. The use of machine learning and brain magnetic resonance imaging (MRI) for the early diagnosis of AD has a… read more here.
Keywords: structure; classification; large margin; sparse representation ... See more keywords
Quantitative convergence analysis of kernel based large-margin unified machines
Sign Up to like & getrecommendations! Published in 2020 at "Communications on Pure and Applied Analysis"
DOI: 10.3934/cpaa.2020180
Abstract: High-dimensional binary classification has been intensively studied in the community of machine learning in the last few decades. Support vector machine (SVM), one of the most popular classifier, depends on only a portion of training… read more here.
Keywords: large margin; margin unified; quantitative convergence; analysis ... See more keywords