Multimodaldeeplearning

...Multimodal learning, also known as multi-view learning, data integration, or data fusion, is an emerging field in signal processing, machine learning, and ...

由 C Akkus 著作 · 2023 · 被引用 14 次 — Abstract:This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the ...

2023年5月10日 — Multimodal deep learning models are typically composed of multiple unimodal neural networks, which process each input modality separately. For ...

Multimodal learning, in context of machine learning, is deep learning from a combination of various modalities of data, often arising in real-world ...

2022年11月24日 — Multimodal deep learning allows for a more holistic understanding of data, as well as increased accuracy and efficiency.

2023年6月18日 — In an understandable language, multimodal learning is about exploring the interactions between various types of data, known as modalities, to ...

由 J Ngiam 著作 · 2011 · 被引用 3725 次 — In this work, we propose a novel application of deep networks to learn features over multiple modalities. We present a series of tasks for multimodal learning ...

2022年12月15日 — Multimodal Deep Learning is a machine learning subfield that aims to train AI models to process and find relationships between different types ...