Results 11 to 20 of about 1,190,682 (254)
Survey of Multimodal Data Fusion Research [PDF]
Although the powerful learning ability of deep learning has achieved excellent results in the field of single-modal applications, it has been found that the feature representation of a single modality is difficult to fully contain the complete ...
ZHANG Hucheng, LI Leixiao, LIU Dongjiang
doaj +3 more sources
Multimodal Data Fusion based on the Global Workspace Theory [PDF]
We propose a novel neural network architecture, named the Global Workspace Network (GWN), which addresses the challenge of dynamic and unspecified uncertainties in multimodal data fusion.
Bianchi-Berthouze, N +3 more
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Region-based multimodal image fusion using ICA bases [PDF]
In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients ...
Cvejic, N, Canagarajah, CN, Bull, DR
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Feature Fusion Methods for Multimodal Image Recognition Based on Autonomous Driving [PDF]
With the widespread use of automatic driving technology, multimodal fusion technology has gradually formed three mainstream fusion levels: early stage, middle stage, and late stage.
Jin Jiayan
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Research on a Microexpression Recognition Technology Based on Multimodal Fusion
Microexpressions have extremely high due value in national security, public safety, medical, and other fields. However, microexpressions have characteristics that are obviously different from macroexpressions, such as short duration and weak changes ...
Jie Kang +5 more
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Fusion of children’s speech and 2D gestures when conversing with 3D characters [PDF]
Most existing multi-modal prototypes enabling users to combine 2D gestures and speech input are task-oriented. They help adult users solve particular information tasks often in 2D standard Graphical User Interfaces. This paper describes the NICE Andersen
BERNSEN, Niels Ole +7 more
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Research on Development Status of Multimodal Knowledge Graph Fusion Technology in Medical Field [PDF]
Multimodal knowledge graph utilizes text, visual and other multimodal data to model entities, relationships and events, demonstrating powerful data processing capabilities and providing richer and deeper understanding for the field of artificial ...
SHI Zhenpu, LYU Xiao, DONG Yanru, LIU Jing, WANG Xiaoyan
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Construction equipment operations that require high levels of attention can cause mental fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental fatigue using single-modal data with acceptable accuracy. However, mental
Imran Mehmood +7 more
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Improving fusion of surveillance images in sensor networks using independent component analysis [PDF]
In this paper we present a novel algorithm for fusion of multimodal surveillance images, based on ICA, which has an improved performance over sensor networks.
Cvejic, N, Canagarajah, CN, Bull, DR
core +1 more source
Data fusion methods in multimodal human computer dialog
In multimodal human computer dialog, non-verbal channels, such as facial expression, posture, gesture, etc, combined with spoken information, are also important in the procedure of dialogue. Nowadays, in spite of high performance of users’ single channel
Ming-Hao YANG, Jian-Hua TAO
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