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Generalized Welsch penalty for edge-aware image decomposition
Edge-aware image decomposition is an essential topic in the field of multimedia signal processing. In this paper, we propose a novel non-convex...
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Mathematical foundation, discussion and suggestion on penalty parameter setting of penalty-based boundary intersection method for many-objective optimization problems
Decomposition based method is a promising algorithmic framework for solving multi-objective optimization problems (MOPs). The target MOP is...
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Aggregation Using Penalty and Moderate Deviation Functions
This paper discusses the connection between the local penalty function and the moderate deviation function in the construction of aggregation...
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Boundedness and Convergence of Mini-batch Gradient Method with Cyclic Dropconnect and Penalty
Dropout is perhaps the most popular regularization method for deep learning. Due to the stochastic nature of the Dropout mechanism, the convergence...
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Network embedding based on high-degree penalty and adaptive negative sampling
Network embedding can effectively dig out potentially useful information and discover the relationships and rules which exist in the data, that has...
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Achieving fairness with a simple ridge penalty
In this paper, we present a general framework for estimating regression models subject to a user-defined level of fairness. We enforce fairness as a...
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Penalty-Aware Memory Loss for Deep Metric Learning
This paper focus on the deep metric learning, which has been widely used in various multimedia tasks. One popular solution is to learn a suitable...
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Improving translation between English, Assamese bilingual pair with monolingual data, length penalty and model averaging
Notwithstanding the success of Neural Machine Translation (NMT), we have seen that translation of resource poor Indic languages and techniques...
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A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation
The summary generation model equipped with gradient penalty avoids overfitting and makes the model more stable. However, the traditional gradient...
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Image restoration via combining a fractional order variational filter and a TGV penalty
In this paper, a novel variational model for the restoration of images contaminated with multiplicative noise (also known as speckle) is proposed. It...
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A penalty-based algorithm proposal for engineering optimization problems
This paper presents a population-based evolutionary computation model for solving continuous constrained nonlinear optimization problems. The primary...
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An interior penalty coupling strategy for isogeometric non-conformal Kirchhoff–Love shell patches
This work focuses on the coupling of trimmed shell patches using Isogeometric Analysis, based on higher continuity splines that seamlessly meet the
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A Penalty-Like Neurodynamic Approach to Convex Optimization Problems with Set Constraint
This paper investigates convex optimization problems with set constraint. In handling this constraint, some neurodynamic approaches transform the...
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Optimal error estimates of penalty difference finite element method for the 3D steady Navier-Stokes equations
In this paper, a penalty difference finite element (PDFE) method is presented for the 3D steady Navier-Stokes equations by using the finite element...
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ICWGAN-GP: an image fusion method based on infrared compensator and wasserstein generative adversarial network with gradient penalty
The existing Generative adversarial network (GAN)-based infrared (IR) and visible (VIS) image fusion methods mainly used multiple discriminators to...
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Adaptive distance penalty based nonnegative low-rank representation for semi-supervised learning
Low-rank representation (LRR) aims to find the essential structural information of the original data. It can capture global information and has...
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An interior penalty discontinuous Galerkin reduced order model for the variable coefficient advection–diffusion-reaction equation
In this paper, we construct a reduced order model (ROM) to solve the advection–diffusion-reaction (ADR) equation with variable coefficients. In order...
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Fixed Set Search Matheuristic Applied to the min-Knapsack Problem with Compactness Constraints and Penalty Values
This paper introduces an extended version of the min-Knapsack problem with compactness constraints (mKPC). The idea is to define penalty values for...
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Penalty Weights in QUBO Formulations: Permutation Problems
Optimisation algorithms designed to work on quantum computers or other specialised hardware have been of research interest in recent years....
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Trust Your Neighbours: Penalty-Based Constraints for Model Calibration
Ensuring reliable confidence scores from deep networks is of pivotal importance in critical decision-making systems, notably in the medical domain....