Results 31 to 40 of about 77,989 (251)

An Efficient Implementation Method for Distributed Fusion in Sensor Networks Based on CPHD Filters

Sensors, 2023
A highly efficient implementation method for distributed fusion in sensor networks based on CPHD filters is proposed to address the issues of unknown cross-covariance fusion estimation and long fusion times in multi-sensor distributed fusion. This method
Liu Wang, Guifen Chen
doaj   +1 more source

Distributed Ellipsoidal Intersection Fusion Estimation for Multi-Sensor Complex Systems

Sensors, 2022
This paper investigates the problem of distributed ellipsoidal intersection (DEI) fusion estimation for linear time-varying multi-sensor complex systems with unknown input disturbances and measurement data transmission delays.
Peng Zhang, Shuyu Zhou, Peng Liu, Mengwei Li   +3 more
doaj   +1 more source

Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification [PDF]

, 2016
This paper considers the classification of linear subspaces with mismatched classifiers. In particular, we assume a model where one observes signals in the presence of isotropic Gaussian noise and the distribution of the signals conditioned on a given ...
Calderbank, Robert, Renna, Francesco, Rodrigues, Miguel R. D., Sokolic, Jure   +3 more
core   +2 more sources

Improved Ellipsoidal Intersection Method for 2D Data Fusion

IEEE Access
This article presents a comprehensive review and analysis of data fusion techniques for both known and unknown correlation cases. Established methods, including naive fusion, Bar-Shalom Campo, Covariance Intersection, Ellipsoidal Intersection, Inverse ...
Muhammed Mert Ulupinar, Gokhan Soysal
doaj   +1 more source

Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

, 2016
In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI).
Hoseinnezhad, Reza, Kong, Lingjiang, Li, Suqi, Wang, Bailu, Yang, Xiaobo, Yi, Wei   +5 more
core   +1 more source

Low-Dimensional Topology of Information Fusion

, 2014
We provide an axiomatic characterization of information fusion, on the basis of which we define an information fusion network. Our construction is reminiscent of tangle diagrams in low dimensional topology.
Carmi, Avishy Y., Moskovich, Daniel
core   +1 more source

Robust Geometry Estimation using the Generalized Voronoi Covariance Measure [PDF]

, 2015
The Voronoi Covariance Measure of a compact set K of R^d is a tensor-valued measure that encodes geometric information on K and which is known to be resilient to Hausdorff noise but sensitive to outliers. In this article, we generalize this notion to any
Cuel, Louis, Lachaud, Jacques-Olivier, Mérigot, Quentin, Thibert, Boris   +3 more
core   +3 more sources

Graphical Markov models, unifying results and their interpretation

, 2015
Graphical Markov models combine conditional independence constraints with graphical representations of stepwise data generating processes.The models started to be formulated about 40 years ago and vigorous development is ongoing.
Allman, Andersen, Anderson, Anderson, Andersson, Andersson, Barndorff-Nielsen, Birch, Bollen, Castelo, Castelo, Chaudhuri, Cochran, Cox, Cox, Cox, Cox, Cox, Darroch, Dawid, Dawid, Dempster, Dempster, Drton, Edwards, Edwards, Eichler, Evans, Fisher, Foygel, Fried, Frydenberg, Geiger, Gibbs, Glonek, Grcar, Green, Haberman, Højsgaard, Jiang, Jöreskog, Kauermann, Khare, Koster, Lauritzen, Lauritzen, Lauritzen, Letac, Lněnička, Loh, Lupparelli, Ma, Mabry, Marchetti, Marchetti, Markov, McCullagh, McCullagh, Nemeth, Neumann, Oliver, Ostrowski, Ostrowski, Pearl, Pearl, Pearl, Pearl, Reingold, Richardson, Robins, Roverato, Sadeghi, Sadeghi, Sadeghi, San Martin, Schur, Shpitser, Simpson, Speed, Speed, Spirtes, Stanghellini, Strotz, Studený, Sundberg, Tarjan, Tikhonov, Tukey, Uhler, Wainer, Wainwright, Weisberg, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Wermuth, Whittaker, Wiedenbeck, Won, Wright, Wright, Zellner, Zwiernik   +117 more
core   +1 more source

Integrating Covariance Intersection into Bayesian multi-target tracking filters [PDF]

, 2022
Daniel E. Clark, Mark Campbell
openalex   +2 more sources

Ellipsoidal Prediction Regions for Multivariate Uncertainty Characterization [PDF]

, 2017
While substantial advances are observed in probabilistic forecasting for power system operation and electricity market applications, most approaches are still developed in a univariate framework.
Azizipanah-Abarghooee, Rasoul, Golestaneh, Faranak, Gooi, Hoay Beng, Pinson, Pierre   +3 more
core   +2 more sources