Results 31 to 40 of about 367,129 (284)
Educare, 2022 Global expansion of smartphone use has made the production of visual texts easy and accessible. This article explores six adult immigrant students’ multimodal text production in everyday and learning situations.
Mia Franzisca Fasting
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Reducing Annotation Burden Through Multimodal Learning
Frontiers in Big Data, 2020 Choosing an optimal data fusion technique is essential when performing machine learning with multimodal data. In this study, we examined deep learning-based multimodal fusion techniques for the combined classification of radiological images and ...
Kevin Lopez +5 more
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Robust Multimodal Dictionary Learning [PDF]
, 2013 We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities.
Tian, Cao +5 more
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PENTINGNYA PENGGUNAAN PENDEKATAN MULTIMODAL DALAM PEMBELAJARAN
Waskita: Jurnal Pendidikan Nilai dan Pembangunan Karakter, 2020 Nowadays globalization and rapid technological developments able to explained all means of meaning under the theory of multimodality. Multimodal is any source of verbal and visual semiotics that can be used to realize the type and level of dialogical ...
Taufiq Akbar Al Fajri
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IEEE Access, 2023 Multimodal learning has gained immense popularity due to the explosive growth in the volume of image and textual data in various domains. Vision-language heterogeneous multimodal data has been utilized to solve a variety of tasks including classification,
Priyankar Bose +2 more
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On the Role of Visuals in Multimodal Answers to Medical Questions [PDF]
, 2007 This paper describes two experiments carried out in order to investigate the role of visuals in multimodal answer presentations for a medical question answering system.
Bosma, Wauter +5 more
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Robot Concept Acquisition Based on Interaction Between Probabilistic and Deep Generative Models
Frontiers in Computer Science, 2021 We propose a method for multimodal concept formation. In this method, unsupervised multimodal clustering and cross-modal inference, as well as unsupervised representation learning, can be performed by integrating the multimodal latent Dirichlet ...
Ryo Kuniyasu +4 more
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Graph Distillation for Action Detection with Privileged Modalities
, 2018 We propose a technique that tackles action detection in multimodal videos under a realistic and challenging condition in which only limited training data and partially observed modalities are available.
Bingbing Ni +13 more
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Multimodal Classification of Urban Micro-Events [PDF]
, 2019 In this paper we seek methods to effectively detect urban micro-events. Urban micro-events are events which occur in cities, have limited geographical coverage and typically affect only a small group of citizens.
Awad George +6 more
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Calibrating Multimodal Learning
, 2023 Multimodal machine learning has achieved remarkable progress in a wide range of scenarios. However, the reliability of multimodal learning remains largely unexplored. In this paper, through extensive empirical studies, we identify current multimodal classification methods suffer from unreliable predictive confidence that tend to rely on partial ...
Zhang, Huan Ma. Qingyang +5 more
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