A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. Information fusion is capable of fusing and transforming information originated from multiple sources into an integrated representation.
Oct 19, 2022 · We design four incremental mechanisms and algorithms for fusing multi-source interval-valued data on the ground of the static condition.
Dec 9, 2024 · Information fusion is capable of fusing and transforming information originated from multiple sources into an integrated representation.
This paper aims to explore the information fusion problem of multi-source incomplete interval-valued datasets.
Nov 10, 2023 · This paper aims to explore the information fusion problem of multi-source incomplete interval-valued datasets. The primary contributions of this ...
Feb 27, 2024 · This paper aims to explore the information fusion problem of multi-source incomplete interval-valued datasets. The primary contributions of this ...
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. IEEE Transactions on Big Data. 2023-06-01 | Journal article.
This work presents a novel multimodal database comprising 3D face, 2D face, thermalface, visible iris, finger and hand veins, voice and anthropometrics. This ...
This paper proposes a novel method to information fusion in MSIIV-data via conditional information entropy (CIE) and considers its application to attribute ...
Aug 16, 2024 · A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. IEEE Trans. Big Data 9(3): 845-859 (2023).