Abstract: In recent years, deep learning-based methods have attracted considerable attention in hyperspectral image (HSI) hyperspectral unmixing (HU) tasks due to their robust feature extraction and ...
Boundary integral equations (BIEs) have emerged as a powerful framework for modelling wave propagation, particularly in problems defined over unbounded or complex domains. By reformulating partial ...
Abstract: Microscopic identification is one of the most commonly used methods for preliminary screening of traditional Chinese medicine (TCM). However, TCM microscopic images often contain irregular ...
This paper presents a class of boundary integral equation methods for the numerical solution of acoustic and electromagnetic time-domain scattering problems in the presence of unbounded penetrable ...
Following earlier work of Jones, Davies & Park (1994) we develop estimators based on convolution and interpolation methods, with the aim of reducing their variance and making them competitive with ...
Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
This article presents two important DSP techniques, the overlap-add method, and FFT convolution. The overlap-add method is used to break long signals into smaller segments for easier processing. FFT ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results