Kernel Coherence Encoders
In this thesis, we introduce a novel model based on the idea of autoencoders. Different from a classic autoencoder which reconstructs its own inputs through a neural network, our model is closer to Kernel Canonical Correlation Analysis (KCCA) and reconstructs input data from another data set, where...
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Digital WPI
2018
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/252 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1251&context=etd-theses |