Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
Yaxin Hou, Jun Ma, Hanyang Li, Bo Han, Jie Yu, Yuheng Jia, Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning, International Conference on ...
Herpes simplex virus type 1 (HSV-1) infection poses a significant global public health challenge, affecting approximately 67% of the global population. With a genome spanning 152 kbp of linear ...
We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...
OpenSimplex noise is an n-dimensional gradient noise function that was developed in order to overcome the patent-related issues surrounding Simplex noise, while continuing to also avoid the ...
The study of sample taxonomic composition has evolved from direct observations and labor-intensive morphological studies to different DNA sequencing methodologies. Most of these studies leverage the ...
Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. Whether you want to work on an ...
Infection by viruses, including herpes simplex virus-1 (HSV-1), and cellular stresses cause widespread disruption of transcription termination (DoTT) of RNA polymerase II (RNAPII) in host genes.
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