Feature-Base-Jump-Encoding is a method to improve the way neural networks handle data. This approach allows you to represent features in a matrix without increasing its size, making it efficient and ...

This repository demonstrates a novel technique for feature encoding in neural network (NN) matrices. Instead of expanding matrix size (by adding channels) or increasing compute via multiplication, ...

a.The architecture of the all-optical CNN for OAM-mediated machine learning, which can be applied to encode a data-specific image into OAM states. The photonic neural network comprises a trainable ...

Abstract: Deep convolutional neural networks can be used to produce discriminative image level features. However, when they are used as the feature extractor in a feature encoding pipeline, there are ...

Abstract: In multiobjective feature selection, different feature subsets with the same number of selected features can achieve identical classification accuracy, meaning that it is a multimodal ...

A critical function performed by visual systems is the fast and reliable detection of features within the environment, such as moving objects or approaching threats. Neurons predicted to encode these ...