A correlation regularizer targeting an off-diagonal feature correlation of about 0.5 improves the accuracy and stability of a hybrid CNN-QNN classifier on three binary classification tasks.
Micro- doppler effect in radar: phenomenon, model, and simulation study.IEEE Transactions on Aerospace and electronic sys- tems, 42(1):2–21, 2006
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Image Classification Using CNN-QNN Hybrid Model with Optimized Correlated Features
A correlation regularizer targeting an off-diagonal feature correlation of about 0.5 improves the accuracy and stability of a hybrid CNN-QNN classifier on three binary classification tasks.