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- Multimodal_learning abstract "The information in real world usually comes as different modalities. For example, images are usually associated with tags and text explanations; texts contain images to more clearly express the main idea of the article. Different modalities are characterized by very different statistical properties. For Instance, image is usually represented as pixel intensities or outputs of feature extractors, while texts are represented as discrete word count vectors. Due to distinct statistical properties of different information resources, it is very important to discover the relationship between different modalities. Multimodal learning is a good model to represent the joint representations of different modalities. The multimodal learning model is also capable to fill missing modality given the observed ones. The multimodal learning model combines two Deep Boltzmann Machines each corresponds to one modality. An additional hidden layer is placed on top of the two Boltzmann Machines to give the joint representation.".
- Multimodal_learning wikiPageID "46975535".
- Multimodal_learning wikiPageLength "13328".
- Multimodal_learning wikiPageOutDegree "18".
- Multimodal_learning wikiPageRevisionID "701632719".
- Multimodal_learning wikiPageWikiLink Boltzmann_distribution.
- Multimodal_learning wikiPageWikiLink Boltzmann_machine.
- Multimodal_learning wikiPageWikiLink Category:Artificial_neural_networks.
- Multimodal_learning wikiPageWikiLink Deep_belief_network.
- Multimodal_learning wikiPageWikiLink Generative_model.
- Multimodal_learning wikiPageWikiLink Geoffrey_Hinton.
- Multimodal_learning wikiPageWikiLink Hopfield_network.
- Multimodal_learning wikiPageWikiLink Latent_Dirichlet_allocation.
- Multimodal_learning wikiPageWikiLink Markov_chain_Monte_Carlo.
- Multimodal_learning wikiPageWikiLink Markov_random_field.
- Multimodal_learning wikiPageWikiLink Restricted_Boltzmann_machine.
- Multimodal_learning wikiPageWikiLink Stochastic_process.
- Multimodal_learning wikiPageWikiLink Support_vector_machine.
- Multimodal_learning wikiPageWikiLink Terry_Sejnowski.
- Multimodal_learning wikiPageWikiLinkText "Multimodal learning".
- Multimodal_learning wikiPageUsesTemplate Template:More_footnotes.
- Multimodal_learning wikiPageUsesTemplate Template:Multiple_issues.
- Multimodal_learning wikiPageUsesTemplate Template:Orphan.
- Multimodal_learning wikiPageUsesTemplate Template:Reflist.
- Multimodal_learning wikiPageUsesTemplate Template:Technical.
- Multimodal_learning wikiPageUsesTemplate Template:Tone.
- Multimodal_learning subject Category:Artificial_neural_networks.
- Multimodal_learning comment "The information in real world usually comes as different modalities. For example, images are usually associated with tags and text explanations; texts contain images to more clearly express the main idea of the article. Different modalities are characterized by very different statistical properties. For Instance, image is usually represented as pixel intensities or outputs of feature extractors, while texts are represented as discrete word count vectors.".
- Multimodal_learning label "Multimodal learning".
- Multimodal_learning sameAs m.013f3fbp.
- Multimodal_learning wasDerivedFrom Multimodal_learning?oldid=701632719.
- Multimodal_learning isPrimaryTopicOf Multimodal_learning.