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54 780 (0,225s)

Result

On Fusion of Partial Estimates Under Implicit Partial Knowledge of Correlation

Covariance Intersection fusion is bound-optimal under unknown correlations. Partial knowledge can improve the fusion. An implicit constraint on correlation has that the considered implicit partial knowledge cannot ...

Automation and control systems

  • 2019
  • D
  • Link
Result

Knowledge and data fusion

The aim of this paper is the description of data fusion process. We show. The paper shows the theoretical introduction for data fusion and includes description of JDL model. The third part of the paper contains description of kn...

IN - Informatika

  • 2012
  • D
Result

On Weak Points of the Ellipsoidal Intersection Fusion

of the fusion under the considered partial knowledge of correlations. The tool facilitates the visualisation of the improvement gained by the partial knowledge and exposes weak points of the Ellipsoidal Intersection fu...

Automation and control systems

  • 2017
  • D
  • Link
Result

Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations

of the estimation fusion. In the case of a missing knowledge, sets of admissible matrices are replaced by their bounds and a robust fusion is applied. This paper prospects a specific partial knowledge of the sets ...

Automation and control systems

  • 2021
  • D
  • Link
Result

Calculation of Support Function for Fusion Under Partial Knowledge

Fusion of estimates is a cornerstone of decentralised estimation. The maintaining of full knowledge of estimation error cross-correlations is deemed intractable there. Hence, fusions under no or partial knowledge h...

Automation and control systems

  • 2019
  • D
  • Link
Result

Linear Fusion with Element-Wise Knowledge

. This paper focuses on the linear fusion under the assumption that only some elements of the knowledge are discussed individually for up to five estimates. For an arbitrary number is proposed. Last, the relation with the Split Cova...

Automation and control systems

  • 2022
  • D
  • Link
Result

Dual Approach to Inverse Covariance Intersection Fusion

Linear fusion of estimates under the condition of no knowledge of correlation knowledge are still active research areas. A frequent motivation is to deal with “common information” or “common noise”, whatever it means. A

Automation and control systems

  • 2024
  • D
  • Link
Result

Learning and Exploiting Partial Knowledge in Distributed Estimation

, the correlations are only partially known or even unknown. For a consistent fusion of the local but overly conservative fusion results. In this paper, we propose to learn partial knowledge about the correlation in the for...

Automation and control systems

  • 2021
  • D
  • Link
Result

Cross-Genome Knowledge-Based Expression Data Fusion

the gene ontology and KEGG pathways. The novelty of the proposed data fusion contributes to the robustness of knowledge extracted when single-platform samples are rare and facilitates inference of biological knowledge not ...

JC - Počítačový hardware a software

  • 2009
  • D
Result

29th Symposium on Fusion Technology

and scientific research institutions - all devoted to the latest knowledge, results and plans in the field of thermonuclear fusion technology....

Fluids and plasma physics (including surface physics)

  • 2016
  • O
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