Dwave is describing how they adapted the math to work in a superior way on their adiabatic quantum computer system. This solution indicates how much the smart mathematicians and computer algorithm ...

Each waking moment, the human brain is inundated with nearly a gigabit per second of image data from the eyes. Massive cortical circuits within our occipital lobes must efficiently process this data ...

Abstract: Spectral unmixing of high spatial resolution hyperspectral images is challenging due to the need to accurately identify and extract endmembers from complex mixtures of materials within each ...

Signals from the world (electromagnetic waves, pressure, chemicals etc) are converted to electrical activity in sensory neurons and processed by neuronal networks in the brain. Insects sense smells ...

Sparse coding is a hot area in the field of Deep Learning. Deep learning and sparse coding appears highly promising for increasing the accuracy of image classification and it enables a system to look ...

This repository contains the official implementation of HSISCN (Hyperspectral Image Sparse Coding Network), a deep learning framework designed for hyperspectral image reconstruction from RGB. HSISCN ...

This repository contains two parts. We theoretically compare EPLISTA with prior works in sparse coding simulation experiments. For vision practice of image denoising, we implement EPCSCNet with ...