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The Feature Representation Ability of Variational AutoEncoder

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
As an important generation model, variational autoencoder plays an important role in image feature extraction, text generation, and text compression. In this paper, from the perspective of feature expression, we mainly study the representation ability and stability of variational autoencoder for image features. We extract the features from the original
Cong Wang
exaly   +2 more sources

Spatial representations of numbers in children and their connection with calculation abilities

Cortex, 2008
Evidence for a connection between number and space processing comes from behavioural, patient, and brain imaging data, but only a few studies have addressed this issue in children. We asked children (n=118) at the age of 8-9 years to decide which one of the two numerical distances in a visually presented number triplet was numerically larger. Numerical
Jan, Lonnemann   +3 more
openaire   +2 more sources

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