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Independent Component Analysis (ICA) has found its application in face recognition successfully [1,2]. In practice several ICA representations can be�...
Fusion of ICA features like Spatial, Temporal and Localized features [6] [7] for Face Recognition are considered as optimization method. The illumination has�...
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Apr 13, 2022 � In this article, we propose a deep learning approach that addresses the locality and the temporal aspects of MiE by learning spatiotemporal features from local�...
Missing: ICA | Show results with:ICA
In our study, we have found that spatiotemporal ICA apparently outperforms spatial ICA, and it can be much more robust with better performance than spatial ICA.
Fusion of different features improve face identification relative to cases with no fusion. •. Our results are compared advantageously on several international�...
Fusion of ICA features like Spatial, Temporal and Localized features [7] [8] for Face Recognition are considered as optimization method. An independent Gabor�...
ICA is also used for multimodal fusion, allowing joint analysis of multiple modalities that can enhance our comprehension of the human brain and its disorders,�...
This technique combines the Frei-Chen and Robinson masks' strengths by fusion of the directional features of LDP for these two masks; this elicits a robust�...
A Comparison of Facial Features and Fusion Methods for Emotion Recognition ... Facial expression recognition based on local binary patterns a comprehensive study.
Missing: Spatial | Show results with:Spatial
Feb 20, 2021 � This paper proposes a novel hyperspectral face recognition algorithm that is based on spatial information fusion for feature extraction.
Missing: Temporal | Show results with:Temporal