Regal Frequenz Grund derivation neural mass model interaction kernel gabor function fourier Subtropisch Minimieren Versöhnlich
Estimating scattering potentials in inverse problems with Volterra series and neural networks | SpringerLink
Machine Learning Force Fields | Chemical Reviews
Gabor transform - Wikipedia
29th Annual Computational Neuroscience Meeting: CNS*2020 | BMC Neuroscience | Full Text
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential | Journal of Chemical Theory and Computation
IMAGE CLASSIFICATION USING GABOR FILTERS AND MACHINE LEARNING SEBASTIAN BERISHA
27th Annual Computational Neuroscience Meeting (CNS*2018): Part One | BMC Neuroscience | Full Text
Understanding Gabor Filter
Emerging Themes in CryoEM─Single Particle Analysis Image Processing | Chemical Reviews
Remote Sensing | Free Full-Text | Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey | HTML
Survey of spiking in the mouse visual system reveals functional hierarchy | Nature
Understanding Gabor Filter
Brain Sciences | Free Full-Text | The Active Segmentation Platform for Microscopic Image Classification and Segmentation | HTML
Image reconstruction by domain-transform manifold learning | Nature
arXiv:2110.08059v3 [cs.CV] 17 Mar 2022
Neural Field Models: A mathematical overview and unifying framework
Spatiotemporal Gabor filter for motion processing - Explanation of parameters
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
A hybrid classical techniques and optimal decision model for iris recognition under variable image quality conditions | SpringerLink
Gaussian Process Regression for Materials and Molecules | Chemical Reviews
Understanding Gabor Filter
Applied Sciences | Free Full-Text | Phase Extraction from Single Interferogram Including Closed-Fringe Using Deep Learning | HTML
An automatic feature selection and classification framework for analyzing ultrasound kidney images using dragonfly algorithm and random forest classifier - Narasimhulu - - IET Image Processing - Wiley Online Library