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Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.
Jing Zhang
Yangli-ao Geng
Wen Wang
Wenju Sun
Zhirong Yang
Qingyong Li
Published in:
Knowl. Based Syst. (2022)
Keyphrases
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probabilistic model
high level
similarity measure
mathematical model
multiscale
experimental data
probability distribution
em algorithm
theoretical framework
data samples
neural network
conceptual model
statistical model
computational model
maximum likelihood
training set
objective function
bayesian networks