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Gabor transform - Wikipedia
IMAGE CLASSIFICATION USING GABOR FILTERS AND MACHINE LEARNING SEBASTIAN BERISHA
Understanding Gabor Filter
Machine Learning Force Fields | Chemical Reviews
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Emerging Themes in CryoEM─Single Particle Analysis Image Processing | Chemical Reviews
arXiv:2110.08059v3 [cs.CV] 17 Mar 2022
Neural Field Models: A mathematical overview and unifying framework
Applied Sciences | Free Full-Text | Phase Extraction from Single Interferogram Including Closed-Fringe Using Deep Learning | HTML
arXiv:2110.08059v3 [cs.CV] 17 Mar 2022
Understanding Gabor Filter
J. Imaging | Free Full-Text | Colour and Texture Descriptors for Visual Recognition: A Historical Overview | HTML
29th Annual Computational Neuroscience Meeting: CNS*2020 | BMC Neuroscience | Full Text
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
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
Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning | Journal of Chemical Information and Modeling
Understanding Gabor Filter
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property Prediction | ACS Omega
Comparison of the Performance of Machine Learning Models in Representing High-Dimensional Free Energy Surfaces and Generating Observables | The Journal of Physical Chemistry B
Understanding Gabor Filter
29th Annual Computational Neuroscience Meeting: CNS*2020 | BMC Neuroscience | Full Text
Sensors | Free Full-Text | A Fringe Phase Extraction Method Based on Neural Network | HTML
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential | Journal of Chemical Theory and Computation
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
Understanding Gabor Filter
Estimating scattering potentials in inverse problems with Volterra series and neural networks | SpringerLink