A Local Similarity Function for Katabatic Flows Derived From Field Observations Over Steep‐ and Shallow‐Angled Slopes
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Research Letters"
DOI: 10.1029/2021gl095479
Abstract: Katabatic flows are notoriously difficult to model for a variety of reasons. Notably, the assumptions underpinning Monin‐Obukhov similarity theory (MOST) are inherently violated by the sloping terrain, causing the traditional flux‐gradient relations used in numerical… read more here.
Keywords: function katabatic; similarity; katabatic flows; local similarity ... See more keywords
Improving Prediction Accuracy in Neighborhood-Based Collaborative Filtering by Using Local Similarity
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013733
Abstract: Neighborhood-based algorithms are some of the most promising memory-based collaborative filtering approaches for recommender systems. Many of these algorithms rely on a global similarity measure to select the most similar neighbors for rating prediction. However,… read more here.
Keywords: based collaborative; neighborhood based; similarity; collaborative filtering ... See more keywords
A Two-Stage Algorithm for the Detection and Removal of Random-Valued Impulse Noise Based on Local Similarity
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3040760
Abstract: A two-stage denoising algorithm based on local similarity is proposed to process lowly and moderate corrupted images with random-valued impulse noise in this paper. In the noise detection stage, the pixel to be detected is… read more here.
Keywords: impulse noise; stage; local similarity; noise ... See more keywords
Unsupervised Seismic Random Noise Suppression Based on Local Similarity and Replacement Strategy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272905
Abstract: Improving the signal-to-noise ratio and suppressing random noise in seismic data is critical for high-precision processing. Although deep learning-based algorithms have gained popularity as denoising methods, they suffer from poor generalization ability, resulting in high… read more here.
Keywords: local similarity; noise; random noise; similarity replacement ... See more keywords
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2015.2407393
Abstract: In recent years, a remarkable amount of protein-protein interaction (PPI) data are being available owing to the advance made in experimental high-throughput technologies. However, the experimentally detected PPI data usually contain a large amount of… read more here.
Keywords: protein interaction; similarity preserving; protein protein; local similarity ... See more keywords