Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. …

The development of compressed sensing methods for magnetic resonance (MR) image reconstruction led to an explosion of research on models and optimization algorithms for MR imaging (MRI). …

Fig. 1. Reconstruction of 3D human-object interaction models from in-the-wild images. We propose ROMEO, a method that reconstructs 3D interaction models from images using a simplified yet …

Oct 24, 2023 · The results demonstrate that the proposed method outperforms other methods with a recognition rate of 96.72%. These findings show that the combination of deep learning and gray wolf …

Jan 12, 2024 · Brain Tumor Detection with Deep Learning Methods’ Classifier Optimization Using Medical Images January 2024 Applied Sciences 14 (2):642 DOI: 10.3390/app14020642 License CC …

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About this journal Aims and scope Optimization Methods and Software publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis …

1 day ago · MrNeRF (@janusch_patas). 5 likes 516 views. DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization Contributions: • Fisheye-Compatible …

Sep 28, 2023 · In this paper, we will introduce some optimisation methods for medical images which are effective in improving the accuracy, efficiency and reliability of medical image analysis.

May 8, 2020 · According to the theory of compressive sensing, a single-pixel imaging system was built in our laboratory, and imaging scenes are successfully reconstructed by single-pixel imaging, but the …