Completion of multiview missing data based on multi-manifold regularised non-negative matrix factorisation
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09824-7
Abstract: In multi-source data analysis, the absence of data values or attributes is inevitably brought about by various influencing factors including environment, which results in the loss of knowledge to be conveyed by data. To solve… read more here.
Keywords: completion; multiview; multi manifold; non negative ... See more keywords
A regularized approach for supervised multi-view multi-manifold learning from unlabeled data
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DOI: 10.1007/s10489-019-01411-w
Abstract: In this paper, we combined two steps in a new multi-view multi-manifold learning algorithm that are essential for recognition tasks in the absence of class label information; first, we emphasize the first step of graph-based… read more here.
Keywords: multi view; manifold learning; view multi; multi manifold ... See more keywords
Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3218453
Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG transfer learning algorithms mainly focus on the alignment of the original… read more here.
Keywords: domain adaptive; brain computer; domain; source ... See more keywords
Multi-Manifold Deep Discriminative Cross-Modal Hashing for Medical Image Retrieval
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DOI: 10.1109/tip.2022.3171081
Abstract: Benefitting from the low storage cost and high retrieval efficiency, hash learning has become a widely used retrieval technology to approximate nearest neighbors. Within it, the cross-modal medical hashing has attracted an increasing attention in… read more here.
Keywords: cross modal; retrieval; modal hashing; multi manifold ... See more keywords
A Nonparametric Model for Multi-Manifold Clustering with Mixture of Gaussians and Graph Consistency
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DOI: 10.3390/e20110830
Abstract: Multi-manifold clustering is among the most fundamental tasks in signal processing and machine learning. Although the existing multi-manifold clustering methods are quite powerful, learning the cluster number automatically from data is still a challenge. In… read more here.
Keywords: manifold clustering; model; mixture gaussians; multi manifold ... See more keywords