Works (4)
Updated: July 5th, 2023 15:14
2020 journal article
Community Detection and Improved Detectability in Multiplex Networks
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1697–1709.
author keywords: Multiplexing; Stochastic processes; Belief propagation; Correlation; Periodic structures; Computational modeling; Bayes methods; Network theory (graphs); graphical models; belief propagation
TL;DR:
A generative model that leverages the multiplicity of a single community in multiple layers, with no prior assumption on the relation of communities among different layers is proposed, which shows a better detection performance over a certain correlation and signal to noise ratio (SNR) range.
(via Semantic Scholar)
open access via arxiv.org (repository)
Source: Web Of Science
Added: September 21, 2020
2019 journal article
Analysis Dictionary Learning Based Classification: Structure for Robustness
IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(12), 6035–6046.
author keywords: Discriminate analysis dictionary learning; distributed analysis dictionary learning; structured mapping; supervised learning
TL;DR:
A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: October 19, 2020
2019 journal article
Deep Dictionary Learning: A PARametric NETwork Approach
IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802.
author keywords: Image classification; deep learning; sparse representation
TL;DR:
The performance of the proposed hierarchical method increases by adding more layers, which consequently makes this model easier to tune and adapt and shows a remarkably lower fooling rate in the presence of adversarial perturbation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: August 26, 2019
2016 conference paper
Pansharpening via coupled triple factorization dictionary learning
International conference on acoustics speech and signal processing, 1234–1237.
TL;DR:
The results demonstrate that the data fusion model can successfully be applied to the pan-sharpening problem and is applicable to the pansharpening data fusion problem.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018