HIGHLIGHTS
- who: QNN and colleagues from the Wasit University, Wasit, Iraq have published the Article: Face Patterns Analysis and Recognition System Based on Quantum Neural Network QNN, in the Journal: (JOURNAL)
- what: In this work the training dataset is made up of features vectors that were obtained from a well-known set of face images of different people. In their work, the model learned features by using Bilinear Discriminative Dictionary Learning (BDDL) , while the Collaborative representation-based classification (CRC) was used for image classification in the model. This Article presents a system that was specifically designed . . .
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