Results 201 to 210 of about 582,597 (232)

Equivalence of graphical lasso and thresholding for sparse graphs

Allerton Conference on Communication, Control, and Computing, 2014
Somayeh Sojoudi
openalex   +2 more sources

Sparsity considerations in power system equivalents

Proceedings of the IEEE, 1980
It is shown that for practical power system applications the amount of network reduction to be performed is a function of both the topology of the network and the impedance of the equivalent branches. It is also shown that it is not sufficient to consider only the topological characteristics of the network to be equivalized in deciding about the nodes ...
G. Irisarri, Efthymios Housos
openaire   +2 more sources

Extension of sound field separation technique based on the equivalent source method in a sparsity framework

Journal of Sound and Vibration, 2019
Abstract The equivalent source method (ESM)-based sound field separation technique has been successfully introduced into near-field acoustic holography as a preprocessing tool to eliminate the influence of disturbing sources or reflections from the opposite side of the array.
Liang Xu, Yuan Liu, Yong-Bin Zhang, Chuan-Xing Bi   +3 more
openaire   +2 more sources

Trust-based collaborative filtering: tackling the cold start problem using regular equivalence

ACM Conference on Recommender Systems, 2018
User-based Collaborative Filtering (CF) is one of the most popular approaches to create recommender systems. This approach is based on finding the most relevant k users from whose rating history we can extract items to recommend.
Tomislav Duricic, Emanuel Lacić, Dominik Kowald, E. Lex   +3 more
semanticscholar   +1 more source

Electromagnetic Imaging of Damages in Fibered Layered Laminates via Equivalence Theory

IEEE Transactions on Computational Imaging, 2018
Electromagnetic nondestructive testing of damaged multilayer fiber-reinforced laminates is of concern. Each layer involves periodically positioned circular cylindrical fibers embedded within a matrix medium. Missing, displaced, shrunk, expanded fibers as
Zicheng Liu, D. Lesselier, Y. Zhong
semanticscholar   +1 more source

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2014
Jacob H. Gunther, Josh Hunsaker, Hyrum S. Anderson, Todd K. Moon   +3 more
openalex   +2 more sources

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

arXiv.org
This work introduces a novel principle for disentanglement we call mechanism sparsity regularization, which applies when the latent factors of interest depend sparsely on observed auxiliary variables and/or past latent factors.
Sébastien Lachapelle, Pau Rodr'iguez L'opez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien   +6 more
semanticscholar   +1 more source

Underdetermined Blind Separation Via Rough Equivalence Clustering for Satellite Communications

International Symposium on Networks, Computers and Communications, 2018
The problem of underdetermined blind source separation for satellite communications is proposed in this paper. In underdetermined blind separation, people suppose the source is sparse and the number of source signals is known when they estimate the ...
Chengjie Li, Lidong Zhu, Zhongqiang Luo
semanticscholar   +1 more source

Distributed Computation for Sparse Recovery via Continuous-Time Neurodynamic Approach

IEEE transactions on consumer electronics
Sparsity has been extensively employed in multimedia sensing and computing in consumer electronics, signal and image processing, depth video codec, adaptive sparse-type equalizer, blind speech separation, and machine learning.
You Zhao, Xiao-Fei Liao, Mingliang Zhou, HeXing Xing   +3 more
semanticscholar   +1 more source

A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization

arXiv.org
Generalized Category Discovery (GCD) aims to classify both base and novel images using labeled base data. However, current approaches inadequately address the intrinsic optimization of the co-occurrence matrix $\bar{A}$ based on cosine similarity ...
Zhong Ji, Shuo Yang, Jingren Liu, Yanwei Pang, Jungong Han   +4 more
semanticscholar   +1 more source