Results 21 to 30 of about 78,695 (300)

"Compressed" Compressed Sensing

open access: yesCoRR, 2010
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small number of randomly constructed linear projections (or samples). The question addressed in this paper is whether an even smaller number of samples is sufficient when there exists prior knowledge about the distribution of the ...
Reeves, Galen, Gastpar, Michael
openaire   +3 more sources

Efficient Tuning-Free l1-Regression of Nonnegative Compressible Signals

open access: yesFrontiers in Applied Mathematics and Statistics, 2021
In compressed sensing the goal is to recover a signal from as few as possible noisy, linear measurements with the general assumption that the signal has only a few non-zero entries.
Hendrik Bernd Petersen   +3 more
doaj   +1 more source

Compressed Genotyping [PDF]

open access: yesIEEE Transactions on Information Theory, 2010
Significant volumes of knowledge have been accumulated in recent years linking subtle genetic variations to a wide variety of medical disorders from Cystic Fibrosis to mental retardation. Nevertheless, there are still great challenges in applying this knowledge routinely in the clinic, largely due to the relatively tedious and expensive process of DNA ...
Yaniv Erlich   +4 more
openaire   +4 more sources

Existence of solutions for a shear thickening fluid-particle system with non-Newtonian potential

open access: yesOpen Mathematics, 2018
This paper is concerned with a compressible shear thickening fluid-particle interaction model for the evolution of particles dispersed in a viscous non-Newtonian fluid. Taking the influence of non-Newtonian gravitational potential into consideration, the
Song Yukun, Liu Fengming
doaj   +1 more source

Compression with actions

open access: yes2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
We consider the setting where actions can be used to modify a state sequence before compression. The minimum rate needed to losslessly describe the optimal modified sequence is characterized when the state sequence is either non-causally or causally available at the action encoder.
Lei Zhao   +2 more
openaire   +2 more sources

Dimension Is Compression [PDF]

open access: yesTheory of Computing Systems, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
María López-Valdés, Elvira Mayordomo
openaire   +2 more sources

Global existence of a radiative Euler system coupled to an electromagnetic field

open access: yesAdvances in Nonlinear Analysis, 2018
We study the Cauchy problem for a system of equations corresponding to a singular limit of radiative hydrodynamics, namely, the 3D radiative compressible Euler system coupled to an electromagnetic field.
Blanc Xavier   +2 more
doaj   +1 more source

Quantifying Compressibility and Slip in Multiparticle Collision (MPC) Flow Through a Local Constriction

open access: yesEntropy, 2014
The flow of a compressible fluid with slip through a cylinder with an asymmetric local constriction has been considered both numerically, as well as analytically.
Tahmina Akhter, Katrin Rohlf
doaj   +1 more source

On the Perceptron’s Compression [PDF]

open access: yes, 2020
We study and provide exposition to several phenomena that are related to the perceptron's compression. One theme concerns modifications of the perceptron algorithm that yield better guarantees on the margin of the hyperplane it outputs. These modifications can be useful in training neural networks as well, and we demonstrate them with some experimental
Moran, Shay   +3 more
openaire   +4 more sources

Entropy splitting for high-order numerical simulation of compressible turbulence [PDF]

open access: yes, 2002
A stable high-order numerical scheme for direct numerical simulation (DNS) of shock-free compressible turbulence is presented. The method is applicable to general geometries. It contains no upwinding, artificial dissipation, or filtering.
Li, Q.   +5 more
core   +1 more source

Home - About - Disclaimer - Privacy