In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
More than 200,000 nurses and patients have signed a petition calling on the Department of Education to modify the policy.
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Abstract: This work invokes the notion of f-divergence to introduce a novel upper bound on the Bayes error rate of a general classification task. We show that the ...
Abstract: Point cloud classification, crucial for discriminative 3D shape analysis, has witnessed significant progress through the application of deep learning. A significant research focus has been ...