Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-25371-3
Abstract: Despite recent advances in high-throughput combinatorial mutagenesis assays, the number of labeled sequences available to predict molecular functions has remained small for the vastness of the sequence space combined with the ruggedness of many fitness… read more here.
Keywords: fitness functions; deep neural; neural networks; epistatic net ... See more keywords
Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3152700
Abstract: Physical acquisition of high-resolution hyperspectral images (HR-HSI) has remained difficult, despite its potential of resolving material-related ambiguities in vision applications. Deep hyperspectral image fusion, aiming at reconstructing an HR-HSI from a pair of low-resolution hyperspectral… read more here.
Keywords: fusion; spectral regularization; spatio spectral; hyperspectral image ... See more keywords