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Analysis of convolutional neural networks reveals the computational  properties essential for subcortical processing of facial expression |  Scientific Reports
Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression | Scientific Reports

Random Fourier Features
Random Fourier Features

Recent advances and applications of machine learning in solid-state  materials science | npj Computational Materials
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials

Infrared spectroscopy data- and physics-driven machine learning for  characterizing surface microstructure of complex materials | Nature  Communications
Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials | Nature Communications

A new three-dimensional elastography using phase based shifted Fourier  transform - ScienceDirect
A new three-dimensional elastography using phase based shifted Fourier transform - ScienceDirect

Emergent Orientation Selectivity from Random Networks in Mouse Visual  Cortex - ScienceDirect
Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex - ScienceDirect

Fourier Feature - an overview | ScienceDirect Topics
Fourier Feature - an overview | ScienceDirect Topics

Remote Sensing | Free Full-Text | Hyperspectral Video Target Tracking Based  on Deep Edge Convolution Feature and Improved Context Filter
Remote Sensing | Free Full-Text | Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter

Regularized by Physics: Graph Neural Network Parametrized Potentials for  the Description of Intermolecular Interactions | Journal of Chemical Theory  and Computation
Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions | Journal of Chemical Theory and Computation

Brain Sciences | Free Full-Text | The Active Segmentation Platform for  Microscopic Image Classification and Segmentation
Brain Sciences | Free Full-Text | The Active Segmentation Platform for Microscopic Image Classification and Segmentation

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine  Learning with a Physically Inspired Representation | The Journal of  Physical Chemistry Letters
Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation | The Journal of Physical Chemistry Letters

Fourier transform of a 2D real Gabor function and its filter bank. a In...  | Download Scientific Diagram
Fourier transform of a 2D real Gabor function and its filter bank. a In... | Download Scientific Diagram

IJGI | Free Full-Text | Road Extraction from VHR Remote-Sensing Imagery via  Object Segmentation Constrained by Gabor Features
IJGI | Free Full-Text | Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features

Machine Learning Interatomic Potentials and Long-Range Physics | The  Journal of Physical Chemistry A
Machine Learning Interatomic Potentials and Long-Range Physics | The Journal of Physical Chemistry A

A new three-dimensional elastography using phase based shifted Fourier  transform - ScienceDirect
A new three-dimensional elastography using phase based shifted Fourier transform - ScienceDirect

Applied Sciences | Free Full-Text | A Two-Stage Framework for  Time-Frequency Analysis and Fault Diagnosis of Planetary Gearboxes
Applied Sciences | Free Full-Text | A Two-Stage Framework for Time-Frequency Analysis and Fault Diagnosis of Planetary Gearboxes

Neural Field Models: A mathematical overview and unifying framework
Neural Field Models: A mathematical overview and unifying framework

Performers: The Kernel Trick, Random Fourier Features, and Attention |  Teddy Koker
Performers: The Kernel Trick, Random Fourier Features, and Attention | Teddy Koker

Regularized by Physics: Graph Neural Network Parametrized Potentials for  the Description of Intermolecular Interactions | Journal of Chemical Theory  and Computation
Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions | Journal of Chemical Theory and Computation

Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate  and Scalable Machine Learning Potentials | Journal of Chemical Theory and  Computation
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials | Journal of Chemical Theory and Computation

Fast and Sample-Efficient Interatomic Neural Network Potentials for  Molecules and Materials Based on Gaussian Moments | Journal of Chemical  Theory and Computation
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments | Journal of Chemical Theory and Computation

Frontiers | Machine Learning Based Classification of Resting-State fMRI  Features Exemplified by Metabolic State (Hunger/Satiety)
Frontiers | Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State (Hunger/Satiety)

Properties of the spontaneous activity. A: Power spectral density of... |  Download Scientific Diagram
Properties of the spontaneous activity. A: Power spectral density of... | Download Scientific Diagram

Open-Source Machine Learning in Computational Chemistry | Journal of  Chemical Information and Modeling
Open-Source Machine Learning in Computational Chemistry | Journal of Chemical Information and Modeling

Remote Sensing | Free Full-Text | Inverse Synthetic Aperture LiDAR Imaging  of Rough Targets under Small Rotation Angles
Remote Sensing | Free Full-Text | Inverse Synthetic Aperture LiDAR Imaging of Rough Targets under Small Rotation Angles

arXiv:2110.08059v3 [cs.CV] 17 Mar 2022
arXiv:2110.08059v3 [cs.CV] 17 Mar 2022

Naoki's Scientific Contributions
Naoki's Scientific Contributions