Multimodal learning

The information in real world usually comes as different modalities. For example, images are usually associated with tags and text explanations… (More)
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Topic mentions per year

Topic mentions per year

1970-2018
010203019702018

Papers overview

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2015
2015
In this paper, multimodal learning for facial expression recognition (FER) is proposed. The multimodal learning method makes the… (More)
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2015
2015
Multimodal learning has been mostly studied by assuming that multiple label assignments are independent of each other and all the… (More)
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Highly Cited
2013
Highly Cited
2013
New high-frequency data collection technologies and machine learning analysis techniques could offer new insights into learning… (More)
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Highly Cited
2012
Highly Cited
2012
A Deep Boltzmann Machine is described for learning a generative model of data that consists of multiple and diverse input… (More)
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2012
2012
Project-based learning has found its way into a range of formal and informal learning environments. However, systematically… (More)
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Highly Cited
2011
Highly Cited
2011
Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio… (More)
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Highly Cited
2004
Highly Cited
2004
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval… (More)
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Highly Cited
2003
Highly Cited
2003
We present a multimodal interface that learns words from natural interactions with users. In light of studies of human language… (More)
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2003
2003
We present a multimodal interface that learns words from natural interactions with users. The system can be trained in… (More)
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1995
1995
While significant advances have been made in recent years to continuously expand and improve speech recognition performance… (More)
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