Cross-covariance regularized autoencoders for nonredundant sparse feature representation
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.07.050
Abstract: Abstract We propose a new feature representation algorithm using cross-covariance in the context of deep learning. Existing feature representation algorithms based on the sparse autoencoder and nonnegativity-constrained autoencoder tend to produce duplicative encoding and decoding… read more here.
Keywords: cross covariance; feature representation; feature;
Estimation of Consistent Cross-Covariance Matrices in a Multisensor Data Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3172399
Abstract: The article investigates the problems relevant to the fusion of data provided by sensors used for detection and tracking. One of the most burdensome problems on any data fusion in these fields of application is… read more here.
Keywords: cross covariance; data fusion; covariance matrices;
Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/7518779
Abstract: Enhancers are a class of noncoding DNA elements located near structural genes. In recent years, their identification and classification have been the focus of research in the field of bioinformatics. However, due to their high… read more here.
Keywords: cross covariance; based lstm; auto cross; attention based ... See more keywords