A Majorization-Minimization Algorithm for Hybrid TOA-RSS Based Localization in NLOS Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3155685
Abstract: This letter investigates the problem of accurate localization of a target node in wireless sensor networks using time of arrival (TOA) and received signal strength (RSS) measurements in an adverse non-line of sight (NLOS) environment.… read more here.
Keywords: localization; majorization minimization; toa; nlos environment ... See more keywords
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3165468
Abstract: In this letter, we propose an algorithm for learning a sparse weighted graph by estimating its adjacency matrix under the assumption that the observed signals vary smoothly over the nodes of the graph. The proposed… read more here.
Keywords: learning sparse; sparse graphs; majorization minimization; proposed algorithm ... See more keywords
A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3187368
Abstract: This paper tackles the problem of decomposing binary data using matrix factorization. We consider the family of mean-parametrized Bernoulli models, a class of generative models that are well suited for modeling binary data and enables… read more here.
Keywords: matrix factorization; minimization algorithm; majorization minimization;
Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3212593
Abstract: This paper addresses capacitated clustering based on majorization-minimization and collaborative neurodynamic optimization (CNO). Capacitated clustering is formulated as a combinatorial optimization problem. Its objective function consists of fractional terms with intra-cluster similarities in their numerators… read more here.
Keywords: minimization collaborative; optimization; majorization minimization; capacitated clustering ... See more keywords
A Unified Alternating Direction Method of Multipliers by Majorization Minimization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2017.2689021
Abstract: Accompanied with the rising popularity of compressed sensing, the Alternating Direction Method of Multipliers (ADMM) has become the most widely used solver for linearly constrained convex problems with separable objectives. In this work, we observe… read more here.
Keywords: gauss seidel; admms; alternating direction; direction method ... See more keywords
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2206.03410
Abstract: Non-rigid 3D registration, which deforms a source 3D shape in a non-rigid way to align with a target 3D shape, is a classical problem in computer vision. Such problems can be challenging because of imperfect… read more here.
Keywords: problem; non rigid; majorization minimization; robust non ... See more keywords