Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...

BOSTON--(BUSINESS WIRE)--Method AI, a medical technology company focused on improving oncology outcomes through image-guided surgical navigation, announced today it has raised $20 million in Series A ...

Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods primarily depend ...

ABSTRACT: Copulas are multivariate distribution functions with uniform marginal distributions. In this paper, we study a class of copulas called radial copulas, which is derived from residual ...

Method acting, the practice of experiencing a role as opposed to merely representing it, has been maligned and venerated in equal measure. Many famous and flashy performances exist by virtue of actors ...

ABSTRACT: This research work is an extension of the study carried out on the physico-mechanical characterisation of aggregates used in the manufacture of standard concretes. The aim is to test the ...

Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...