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.
Improv- ing stdp-based visual feature learning with whitening
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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.