Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing
two feature extraction (FE) methods for usage in digital signal processing (DSP) and …

… features for the information fusion purpose this contribution presents a novel technique to
fuse the spatial color information with shaped extracted features … are applied and features are …

… to as, multi-sensor information fusion which was originated in … bring new challenges for
information fusion to deal with the … extracting useful features, simplifying information processing, …

… In this paper we deal with the problem of information fusion by first building a … Fusion at
the feature extraction level: The data obtained from each sensor is used to compute a feature …

… , fusion of spectral and spatial information can significantly improve the HSI classification. In
this work, the spectral-spatial information fusion … feature extraction, fusion and classification. …

… ensemble FI values contain significantly more information than that captured by crisp values…
novel Fuzzy information fusion method known as FEFI (Fuzzy Ensemble Feature Importance…

… (MSD)-based information fusion scheme was proposed and has been successfully used
in image fusion [11]. In this paper, by adopting a similar information fusion scheme based on …

… by multiple sources of biometric information. An information fusion scheme in the context
of bio… Feature level fusion refers to combining different feature sets extracted from multiple …

… and fed into the multi-modal information fusion module, which contains the fusion convolution
and MB reduction operations. At last, seven feature maps in the same size are cascaded …

… This work presents a visual information fusion approach for robust probability-oriented feature
matching. It is sustained by omnidirectional imaging, and it is tested in a visual localization …