Abstract: Spectrum prediction is challenging due to its multi-dimension, complex inherent dependency, and heterogeneity among the spectrum data. In this paper, we first propose a stacked autoencoder ...
well there are some awesome-lists for word embeddings and sentence embeddings, but all of them are outdated and more importantly incomplete this repo will also be incomplete, but I'll try my best to ...
Abstract: Distributed video coding (DVC) transfers the complex process of the encoder to the decoder, which is suitable for video applications with limited encoding resources. Deep learning has shown ...
The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...
Drilling incident predictors (DIP) anticipate drilling incidents which can lead to non-productive time. Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Data-driven ...
The Main Structure of the Network is shown below. Those Two are the Simplified Diagrams of the Network in Auto-Encoder approach and Variational Auto-Encoder approach respectively Focusing on the ...
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