Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion   With the development of web technology, multi-modal or multi-view data has
surged as a major stream for big data, where each modal/view encodes individual
property of data objects. Often, different modalities are complementary to each
other. Such fact motivated a lot of research attention on fusing the
multi-modal feature spaces to comprehensively characterize the data objects.
Most of the existing state-of-the-art focused on how to fuse the energy or
information from multi-modal spaces to deliver a superior performance over
their counterparts with single modal. Recently, deep neural networks have
exhibited as a powerful architecture to well capture the nonlinear distribution
of high-dimensional multimedia data, so naturally does for multi-modal data.
Substantial empirical studies are carried out to demonstrate its advantages
that are benefited from deep multi-modal methods, which can essentially deepen
the fusion from multi-modal deep feature spaces. In this paper, we provide a
substantial overview of the existing state-of-the-arts on the filed of
multi-modal data analytics from shallow to deep spaces. Throughout this survey,
we further indicate that the critical components for this field go to
collaboration, adversarial competition and fusion over multi-modal spaces.
Finally, we share our viewpoints regarding some future directions on this
field.

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The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
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The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
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The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: physics
31
The categories of this paper are: ao-sci
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The categories of this paper are: nlin
23
The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: math