WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
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 ...
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: This paper proposes a 3D Structural Convolutional Network (3D-SCN) for 3D convolutional encoding layers in LiDAR-based self-driving applications. The 3D-SCN leverages novel convolutional ...
MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction technology ...
BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
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, ...