Joint representation learning of appearance and motion for abnormal event detection
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0961-8
Abstract: In this paper, we propose a joint learning of spatio-temporal representation based on 3D deep convolutional neural network for simultaneous representation of appearance and motion information in 3D volumes which are extracted from the multiple… read more here.
Keywords: appearance; event detection; joint learning; event ... See more keywords
Strategic orientations, joint learning, and innovation generation in international customer-supplier relationships
Sign Up to like & getrecommendations! Published in 2018 at "International Business Review"
DOI: 10.1016/j.ibusrev.2018.01.007
Abstract: Abstract While innovations generated by international supply channel relationships, as opposed to individual partners, are playing an increasingly important role in the success of all international supply chain partnerships, research on how international supply chain… read more here.
Keywords: innovation; customer; joint learning; strategic orientations ... See more keywords
Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaa287
Abstract: Abstract Simultaneous profiling transcriptomic and chromatin accessibility information in the same individual cells offers an unprecedented resolution to understand cell states. However, computationally effective methods for the integration of these inherent sparse and heterogeneous data… read more here.
Keywords: single cell; model; joint learning; chromatin accessibility ... See more keywords
jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaa433
Abstract: Abstract Single-cell RNA-sequencing (scRNA-seq) explores the transcriptome of genes at cell level, which sheds light on revealing the heterogeneity and dynamics of cell populations. Advances in biotechnologies make it possible to generate scRNA-seq profiles for… read more here.
Keywords: single cell; scrna seq; jsrc; joint learning ... See more keywords
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad149
Abstract: MOTIVATION Single-cell RNA sequencing (scRNA-seq) technology attracts extensive attention in the biomedical field. It can be used to measure gene expression and analyze the transcriptome at the single-cell level, enabling the identification of cell types… read more here.
Keywords: seq data; cell; joint learning; seq ... See more keywords
Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3150280
Abstract: The recognition of DNA- (DBPs) and RNA-binding proteins (RBPs) is not only conducive to understanding cell function, but also a challenging task. Previous studies have shown that these proteins are usually considered separately due to… read more here.
Keywords: joint learning; binding proteins; deep multi; multi label ... See more keywords
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3074197
Abstract: In underwater scenes, degraded underwater images caused by wavelength-dependent light absorption and scattering present huge challenges to vision tasks. Underwater image enhancement has attracted much attention due to the significance of vision-based applications in marine… read more here.
Keywords: joint learning; image enhancement; image; underwater image ... See more keywords
Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2900295
Abstract: Health assessment and prognostics are two key tasks within the prognostics and health management frame of equipment. However, existing works are performing these two tasks separately and hierarchically. In this paper, we design and establish… read more here.
Keywords: assessment; joint learning; learning degradation; prediction ... See more keywords
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3191093
Abstract: Neural-symbolic learning, aiming to combine the perceiving power of neural perception and the reasoning power of symbolic logic together, has drawn increasing research attention. However, existing works simply cascade the two components together and optimize… read more here.
Keywords: neural perception; joint learning; learning neural; logical reasoning ... See more keywords
End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images
Sign Up to like & getrecommendations! Published in 2023 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2023/3018320
Abstract: Osteoporosis is a significant global health concern that can be difficult to detect early due to a lack of symptoms. At present, the examination of osteoporosis depends mainly on methods containing dual-energyX-ray, quantitative CT, etc.,… read more here.
Keywords: joint learning; classification; osteoporosis; model ... See more keywords
Joint learning improves protein abundance prediction in cancers
Sign Up to like & getrecommendations! Published in 2019 at "BMC Biology"
DOI: 10.1186/s12915-019-0730-9
Abstract: BackgroundThe classic central dogma in biology is the information flow from DNA to mRNA to protein, yet complicated regulatory mechanisms underlying protein translation often lead to weak correlations between mRNA and protein abundances. This is… read more here.
Keywords: abundance; model; protein abundance; biology ... See more keywords