TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model.
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac200
Abstract: MOTIVATION Therapeutic peptide prediction is important for the discovery of efficient therapeutic peptides and drug development. Researchers have developed several computational methods to identify different therapeutic peptide types. However, these computational methods focus on identifying… read more here.
Keywords: therapeutic peptides; therapeutic peptide; multi view; tensor learning ... See more keywords
A Multi-View Fusion Method via Tensor Learning and Gradient Descent for Image Features
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3079499
Abstract: In many computer vision applications, one image can be represented by multiple heterogeneous features from different views, most of them commonly locate in high-dimensional space. These features can reflect different characteristics of one same object,… read more here.
Keywords: method; multi view; view; image ... See more keywords
A Novel Tensor Learning Model for Joint Relational Triplet Extraction.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3265851
Abstract: The relational triplet is a format to represent relational facts in the real world, which consists of two entities and a semantic relation between these two entities. Since the relational triplet is the essential component… read more here.
Keywords: triplet extraction; relational triplet; tensor; tensor learning ... See more keywords
Essential Tensor Learning for Multi-View Spectral Clustering
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DOI: 10.1109/tip.2019.2916740
Abstract: Recently, multi-view clustering attracts much attention, which aims to take advantage of multi-view information to improve the performance of clustering. However, most recent work mainly focuses on the self-representation-based subspace clustering, which is of high… read more here.
Keywords: spectral clustering; tensor; essential tensor; multi view ... See more keywords
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3104837
Abstract: In this article, we propose a novel tensor learning and coding model for third-order data completion. The aim of our model is to learn a data-adaptive dictionary from given observations and determine the coding coefficients… read more here.
Keywords: completion; coding coefficients; tensor completion; model ... See more keywords