Learning Neural Network Classifiers by Distributing Nearest Neighbors on Adaptive Hypersphere

Learning Neural Network Classifiers by Distributing Nearest Neighbors on Adaptive Hypersphere

Information Science, Computer Science, Artificial Intelligence,
neural network classifiers   adaptive hypersphere   nearest neighbors   contrastive loss   local optima   embedding space scalability  

Adaptive Hypersphere Neural Network Classifier: Overview of ASNN Research Introduction and Research Background In recent years, with the development of artificial intelligence and deep learning, neural networks (NNs) have been widely applied to classification tasks. The essence of these tasks lies in establishing decision boundaries through neural ...