Results 31 to 40 of about 4,063,811 (360)
Deep Learning Techniques for Inverse Problems in Imaging [PDF]
IEEE Journal on Selected Areas in Information Theory, 2020 Recent work in machine learning shows that deep neural networks can be used to solve a wide variety of inverse problems arising in computational imaging.
Greg Ongie +5 more
semanticscholar +1 more source
Reconstruction and stable recovery of source terms and coefficients appearing in diffusion equations [PDF]
, 2019 We consider the inverse source problem of determining a source term depending on both time and space variable for fractional and classical diffusion equations in a cylindrical domain from boundary measurements.
Kian, Yavar, Yamamoto, Masahiro
core +2 more sources
Communications of the ACM, 2016 Seeking a market-based solution to the problem of a person's unjustified inaccessibility to their private information.
Gurevich, Yuri +2 more
openaire +2 more sources
The Inverse Bagging Algorithm: Anomaly Detection by Inverse Bootstrap Aggregating [PDF]
, 2016 For data sets populated by a very well modeled process and by another process of unknown probability density function (PDF), a desired feature when manipulating the fraction of the unknown process (either for enhancing it or suppressing it) consists in ...
Dorigo, Tommaso, Vischia, Pietro
core +1 more source
Super Fuzzy Matrix of Inverse in kth Order
Ratio Mathematica, 2023 Unexpected event modelling is a affluent area of study in fuzzy matrix (FM) modelling. Every fuzzy matrix may be shown as a multidimensional cocept, but standard matrices cannot achieve this without the proper scale.
R. Deepa, Dr. P. Sundararajan
doaj +1 more source
Poisson inverse problems [PDF]
, 2006 In this paper we focus on nonparametric estimators in inverse problems for Poisson processes involving the use of wavelet decompositions. Adopting an adaptive wavelet Galerkin discretization, we find that our method combines the well-known theoretical ...
Antoniadis, Anestis, Bigot, Jéremie
core +5 more sources
Metals, 2019 Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s ...
Rajesh Jha, George S. Dulikravich
doaj +1 more source
Non-commutative Stone duality: inverse semigroups, topological groupoids and C*-algebras [PDF]
, 2012 We study a non-commutative generalization of Stone duality that connects a class of inverse semigroups, called Boolean inverse $\wedge$-semigroups, with a class of topological groupoids, called Hausdorff Boolean groupoids. Much of the paper is given over
Lawson, Mark V
core +1 more source
Advancing Structural Health Monitoring with Deep Belief Network-Based Classification
MathematicsStructural health monitoring (SHM) plays a critical role in ensuring the safety and longevity of civil infrastructure by enabling the early detection of structural changes and supporting preventive maintenance strategies.
Álvaro Presno Vélez +2 more
doaj +1 more source
Explicit determinants, inverses and eigenvalues of four band Toeplitz matrices with perturbed rows
Special Matrices, 2019 In this paper, four-band Toeplitz matrices and four-band Hankel matrices of type I and type II with perturbed rows are introduced. Explicit determinants, inverses and eigenvalues for these matrices are derived by using a nice inverse formula of block ...
Zhang Maoyun +2 more
doaj +1 more source