Label errors have been found to be prevalent in popular text, vision, an...
This work is on a fast and accurate reduced basis method for solving
dis...
We present convergence estimates of two types of greedy algorithms in te...
It is well known that via the augmented Lagrangian method, one can solve...
Precise segmentation is a vital first step to analyze semantic informati...
It is challenging to remove rain-steaks from a single rainy image becaus...
Existing shape from focus (SFF) techniques cannot preserve depth edges a...
Aiming at the existing single image haze removal algorithms, which are b...
The training process of neural networks usually optimize weights and bia...
This work proposes a new stabilized P_1× P_0 finite element method for
s...
This work develops optimal preconditioners for the discrete H(curl) and
...
We extend the framework of a posteriori error estimation by precondition...
We present two new recovery-based a posteriori error estimates for the
H...
In this paper we propose and investigate a general approach to construct...
In this paper, we present consistent and inconsistent discontinuous Gale...
For the Hodge–Laplace equation in finite element exterior calculus, we
i...
Crowd work has the potential of helping the financial recovery of region...
This work presents new uniform preconditioners for the discrete
Laplace-...
We introduce and explain key relations between a posteriori error estima...
In this paper, we propose a unified numerical framework for the
time-dep...
Objective: This paper presents a novel heart sound segmentation algorith...
We present a framework that relates preconditioning with a posteriori er...
We present a priori and superconvergence error estimates of mixed finite...
We present residual-based a posteriori error estimates of mixed finite
e...
This work presents superconvergence estimates of the Rannacher-Turek ele...
For the planar elasticity equation, we prove the uniform convergence and...
For a generalized Hodge--Laplace equation, we prove the quasi-optimal
co...