Results 211 to 220 of about 605,737 (255)

DIF Analysis with Unknown Groups and Anchor Items. [PDF]

Psychometrika
Wallin G, Chen Y, Moustaki I.
europepmc   +1 more source

Bridging Glucose Metabolism and Intrinsic Functional Organization of the Human Cortex

Wan B, Riedl V, Castrillon G, Kirschner M, Valk SL.   +4 more
europepmc   +1 more source

Whole-brain causal discovery using fMRI. [PDF]

Netw Neurosci
Arab F, Ghassami A, Jamalabadi H, Peters MAK, Nozari E.   +4 more
europepmc   +1 more source

A Regression-based Approach to Robust Estimation and Inference for Genetic Covariance. [PDF]

J Am Stat Assoc
Wang J, Li S, Li H.
europepmc   +1 more source

A large-scale benchmark for network inference from single-cell perturbation data. [PDF]

Commun Biol
Chevalley M, Roohani YH, Mehrjou A, Leskovec J, Schwab P.   +4 more
europepmc   +1 more source

Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation

IEEE Transactions on Neural Networks, 2008
This paper discusses the estimation and numerical calculation of the probability that the 0-norm and 1-norm solutions of underdetermined linear equations are equivalent in the case of sparse representation. First, we define the sparsity degree of a signal.
Shun-ichi Amari, Andrzej Cichocki, Shengli Xie, Cuntai Guan, Yuanqing Li   +4 more
semanticscholar   +5 more sources

Some of the next articles are maybe not open access.

Related searches:

Solving inverse obstacle problems using inverse source, equivalence principles and sparsity promotion

2017 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2017
This paper introduces a new linear approach for the solution of inverse obstacles problem in case of both penetrable and impenetrable objects. The approach takes advantage from the equivalence principles and from sparsity based regularizations. In particular, thank to the fact that for both high conductivity and dielectric scatterers, induced and ...
Tommaso Isernia, Martina T. Bevacqua
openaire   +3 more sources

$NP/CMP$ Equivalence: A Phenomenon Hidden Among Sparsity Models $l_{0}$ Minimization and $l_{p}$ Minimization for Information Processing

IEEE Transactions on Information Theory, 2015
In this paper, we have proved that in every underdetermined linear system $Ax=b$ , there corresponds a constant $p^{*}(A,b)>0$ such that every solution to the $l_{p}$ -norm minimization problem also solves the $l_{0}$ -norm minimization problem whenever $
Jigen Peng, Shigang Yue, Haiyang Li
openaire   +2 more sources