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Deep compressed sensing for learning submodular functions
Yu Chung Tsai,
Kuo Shih Tseng
Department of Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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(2)
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Dive into the research topics of 'Deep compressed sensing for learning submodular functions'. Together they form a unique fingerprint.
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Keyphrases
Submodular Function
100%
Deep Compressed Sensing
100%
Compressed Sensing
14%
Fourier Coefficients
14%
Approaches to Learning
14%
Spatial Domain
14%
Sensing Technique
14%
Benchmark Approach
14%
Functional Outcome
14%
Target Search
14%
Sensing Approach
14%
3D Mapping
14%
Fourier Domain
14%
AI Community
14%
Number of Sets
14%
Autoencoder Network
14%
Fourier Basis
14%
Engineering
Compressed Sensing
100%
Spatial Domain
33%
Sensing Mechanisms
33%
Conducted Experiment
33%
Fourier Coefficient
33%
Autoencoder
33%
Fourier Series
33%
Artificial Intelligence
33%
Fourier Transform
33%
Computer Science
Compressed Sensing
100%
Spatial Domain
33%
Fourier Transform
33%
Autoencoder
33%
Paying Attention
33%
Artificial Intelligence
33%
Fourier Coefficient
33%