Nonlinear Feature Normalization for Hyperspectral Feature Transfer
, 2019 Hyperspectral remote sensing is an important topic for deriving high-level information about the earth's surface. Applications include land cover mapping, precision farming, and the detection of environmental pollution. This is made possible by recording and evaluating narrow-band features that are characteristic of individual materials.
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Transfer Learning Using Feature Selection
, 2009 Masters ...
Dhillon, Paramveer S. +2 more
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By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
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Ongoing Mass Transfer in the Interacting Galaxy Pair NGC 1409/10
, 2003 I present two-band HST STIS imaging, and WIYN spectral mapping, of ongoing mass transfer in the interacting galaxy pair NGC 1409/10 (where NGC 1410 is the Seyfert galaxy also catalogued as III Zw 55).
de Mello D. F. +5 more
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Cover Feature: Symmetrically Functionalized Copper and Silver Corrole‐Bis‐Tetracyanobutadiene Push‐Pull Conjugates: Efficient Population of Triplet States via Charge Transfer (Chem. Eur. J. 41/2023) [PDF]
, 2023 Inderpal Yadav +3 more
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Transfer Learning for Feature Dimensionality Reduction
The International Arab Journal of Information Technology, 2022 Transfer learning is a machine learning methodology by which a model developed for achieving a task is exploited for another related job. Many pre-trained image classification models trained on ImageNet are used for transfer learning. These pre-trained networks could also be used for classifying out of domain images by retraining them.
Nikhila Thribhuvan, Sudheep Elayidom
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Hematopoietic (stem) cells—The elixir of life?
FEBS Letters, EarlyView.The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo +4 more
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Comparing transfer learning to feature optimization in microstructure classification
iScience, 2022 Summary: Human analysis of research data is slow and inefficient. In recent years, machine learning tools have advanced our capability to perform tasks normally carried out by humans, such as image segmentation and classification.
Debanshu Banerjee, Taylor D. Sparks
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Binary gannet optimization algorithm for feature selection using time-varying transfer function [PDF]
, 2023 Lin Xu +3 more
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Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
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