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Multimod Data Manager: A tool for data fusion
Computer Methods and Programs in Biomedicine, 2007Nowadays biomedical engineers regularly have to combine data from multiple medical imaging modalities, biomedical measurements and computer simulations and this can demand the knowledge of many specialised software tools. Acquiring this knowledge to the depth necessary to perform the various tasks can require considerable time and thus divert the ...
Marco Viceconti +6 more
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A treatment engine by multimodal EMR data
Proceedings of the 2nd ACM International Conference on Multimedia in Asia, 2021In recent years, with the development of electronic medical record (EMR) systems, it has become possible to mine patient clinical data to improve medical care quality. After the treatment engine learns knowledge from the EMR data, it can automatically recommend the next stage of prescriptions and provide treatment guidelines for doctors and patients ...
Zhaomeng Huang, Liyan Zhang 0001, Xu Xu
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Active Estimation From Multimodal Data
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021The paper considers the problem of estimating a covariate parameter shared by multiple statistical models. Under the objective of estimating the parameter with target reliability with the fewest number of samples from these models, a fundamental question is how to glean samples from the statistical models. This question is especially important when the
Arpan Mukherjee +3 more
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Gestalt Principles in Multimodal Data Representation
IEEE Computer Graphics and Applications, 2015Data visualization is a powerful tool to communicate data in a clear, digestible format through graphical means. To be effective, however, form and function need to work in tandem, filtering layers of noise to reveal the key aspects of the analyzed data. Indeed, this could prove to be sufficient in discovering already known patterns.
Muhammad Hafiz Wan Rosli +1 more
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2006
Do users show emotions and gestures if they interact with a rather intelligent multimodal dialogue system? And if they do, what do the “emotions” and the gestures look like? Are there any features that can be exploited for their automatic detection? And finally, which language do they use when interacting with a multimodal system — does it differ from ...
Silke Steininger +2 more
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Do users show emotions and gestures if they interact with a rather intelligent multimodal dialogue system? And if they do, what do the “emotions” and the gestures look like? Are there any features that can be exploited for their automatic detection? And finally, which language do they use when interacting with a multimodal system — does it differ from ...
Silke Steininger +2 more
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Sentiment analysis of multimodal twitter data
Multimedia Tools and Applications, 2019Text-driven sentiment analysis has been widely studied in the past decade, on both random and benchmark textual Twitter datasets. Few pertinent studies have also reported visual analysis of images to predict sentiment, but much of the work has analyzed a single modality data, that is either text or image or GIF video.
Akshi Kumar 0001, Geetanjali Garg
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Editorial learning for multimodal data
Neurocomputing, 2017Xiaofeng Zhu 0001 +2 more
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Multimodal Data Fusion with Quantum Inspiration
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019Language understanding is multimodal. During human communication, messages are conveyed not only by words in textual form, but also through speech patterns, gestures or facial emotions of the speakers. Therefore, it is crucial to fuse information from different modalities to achieve a joint comprehension.
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3D multimodal data fusion system
SPIE Proceedings, 2012The problem of 3D shape/depth map acquisition in real-time has received increasing attention in recent years. The most popular structure light system based on digital light projection allow to rapid acquisition of data about 3D real objects. This research describes a novel approach for 3D shape measurement system supported by polarization image ...
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