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A Novel Transformer-Based Multivariate Spatio-Temporal Feature Fusion Method for UAV Actuator Anomaly Detection. [PDF]

Sensors (Basel)
Liu C, Yue H.
europepmc   +1 more source

Information Entropy-Guided Multi-Scale Feature Fusion for Crowd Density Estimation. [PDF]

Entropy (Basel)
Liu Z, Yang T, Wang Y.
europepmc   +1 more source

Mandarin speech-based early detection of SCD: a feature-fusion residual network method. [PDF]

Alzheimers Dement
Liu Z, Che C, He G, Wu H, Cai L, Cui L, Liang L.   +6 more
europepmc   +1 more source

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A feature fusion method for feature extraction

SPIE Proceedings, 2012
The automatic target recognition based on image fusion refers to the fusion process using the target images provided by a variety of sensors, so as to improve the recognition accuracy and robustness and to obtain better recognition performance.
Dejun Tang, Weishi Zhang, Xiaolu Qu, Dujuan Wang   +3 more
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A feature fusion framework for hashing

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
A hash algorithm converts data into compact strings. In the multimedia domain, effective hashing is the key to large-scale similarity search in high-dimensional feature space. A limit of existing hashing techniques is that they typically use single features. In order to improve search performance, it is necessary to utilize multiple features.
I-Hong Jhuo, Li Weng, Wen-Huang Cheng, D. T. Lee   +3 more
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Feature Based Decision Fusion

2001
In this paper we present a new architecture for combining classifiers. This approach integrates learning into the voting scheme used to aggregate individual classifiers decisions. This overcomes the drawbacks of having static voting techniques. The focus of this work is to make the decision fusion a more adaptive process.
Nayer M. Wanas, Mohamed S. Kamel
openaire   +2 more sources