Optimum Spectral Sensitivity Functions for Single Sensor Color Imaging

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Rectified-linear-unit (ReLU) neural networks, which play a prominent role in deep learning, generate continuous and piecewise-linear (CPWL) functions. While they provide a powerful parametric representation, the mapping between the parameter and function s ...

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Optimum Spectral Sensitivity Functions for Single Sensor Color Imaging

Chattez avec Graph Search

Stable parameterization of continuous and piecewise-linear functions

500 MHz high resolution proximity sensors with fully integrated digital counter

Evaluation of HPK n plus -p planar pixel sensors for the CMS Phase-2 upgrade

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

Dynamical Low-Rank Approximation for Stochastic Differential Equations

Towards learning-based denoising of light fields

Radiation Hardness of MALTA2, a Monolithic Active Pixel Sensor for Tracking Applications

The role of secondary features in serial dependence

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Aperture-Controlled Fabrication of All-Dielectric Structural Color Pixels

Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems\ast

Challenges and prospects for multi-chip microlens imprints on front-side illuminated SPAD imagers

Algebraic twists of GL(2) automorphic forms