A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01598-y
Abstract: Instance selection aims to search for the best patterns in the training set and main instance selection methods include condensation methods, edition methods and hybrid methods. Hybrid methods combine advantages of both edition methods and… read more here.
Keywords: natural neighbors; instance selection; parameter free; free hybrid ... See more keywords
Gaussian network model can be enhanced by combining solvent accessibility in proteins
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-07677-9
Abstract: Gaussian network model (GNM), regarded as the simplest and most representative coarse-grained model, has been widely adopted to analyze and reveal protein dynamics and functions. Designing a variation of the classical GNM, by defining a… read more here.
Keywords: solvent accessibility; gnm; parameter free; model ... See more keywords
Seismic tomography using parameter-free Backus–Gilbert inversion
Sign Up to like & getrecommendations! Published in 2019 at "Geophysical Journal International"
DOI: 10.1093/gji/ggz175
Abstract: S U M M A R Y This proof-of-concept study presents a parameter-free, linear Backus–Gilbert inversion scheme, tractable for seismic tomography problems. It leads to efficient computations of unbiased tomographic images, accompanied by meaningful resolution… read more here.
Keywords: inversion; parameter free; backus gilbert; seismic tomography ... See more keywords
Parameter-free differential evolution algorithm for the analytic continuation of imaginary time correlation functions.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.025312
Abstract: We report on differential evolution for analytic continuation: a parameter-free evolutionary algorithm to generate the dynamic structure factor from imaginary time correlation functions. Our approach to this long-standing problem in quantum many-body physics achieves enhanced… read more here.
Keywords: parameter free; correlation functions; imaginary time; analytic continuation ... See more keywords
ELS: A Fast Parameter-Free Edition Algorithm With Natural Neighbors-Based Local Sets for k Nearest Neighbor
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3005815
Abstract: The instance reduction is one of the data preprocessing methods and aims to remove noises and (or) redundant instances from the training set. In the instance reduction, one of the most representative techniques is the… read more here.
Keywords: parameter free; natural neighbors; local sets; edition ... See more keywords
A Parameter-Free Vibration Analysis Solution for Legacy Manufacturing Machines’ Operation Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2994395
Abstract: Despite the fact that the revolution of Industry 4.0 has started almost a decade ago, there are still many yesteryear’s manufacturing machines that are still currently in operation in many small and medium enterprises (SME)… read more here.
Keywords: parameter free; vibration; vibration analysis; manufacturing machines ... See more keywords
Efficient Parameter-Free Adaptive Multi-Modal Hashing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3008335
Abstract: Unsupervised multi-modal hashing has recently attracted broad attention in research area of large-scale multimedia retrieval for its low storage cost, high retrieval speed, and independence on semantic labels. However, the model learning process of existing… read more here.
Keywords: multi modal; modal hashing; efficient parameter; parameter free ... See more keywords
A CAM-Guided Parameter-Free Attention Network for Person Re-Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3186273
Abstract: Most existing attention mechanisms have no supervised signal during the training phase, which limits the model feature learning capability. To solve this problem, we propose a novel parameter-free attention mechanism based on class activation mapping.… read more here.
Keywords: free attention; parameter free; spatial attention; person ... See more keywords
Parameter-Free Selective Segmentation With Convex Variational Methods
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2883521
Abstract: Selective segmentation methods involve incorporating user input to partition an image into a foreground and background. These methods are often sensitive to some aspect of the user input in a counter intuitive manner, making their… read more here.
Keywords: free selective; parameter free; selective segmentation; user input ... See more keywords
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3087162
Abstract: Finding a consensus embedding from multiple views is the mainstream task in multiview graph-based clustering, in which the key problem is to handle the inconsistence among multiple views. In this article, we consider clustering effectiveness… read more here.
Keywords: consensus embedding; parameter free; multiple views; multiview graph ... See more keywords