TMCnet

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

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) ...
IEEE

A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains

Abstract: Dimensionality reduction is used as an important tool for unraveling the complexities of high-dimensional datasets in many fields of science, such as cell biology, chemical informatics, and ...
C&EN

EncoderMap III: A Dimensionality Reduction Package for Feature Exploration in Molecular Simulations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
IEEE

Knowledge Learning-Based Dimensionality Reduction for Solving Large-Scale Sparse Multiobjective Optimization Problems

Abstract: Large-scale sparse multiobjective optimization problems (LSMOPs) are of great significance in the context of practical applications, such as critical node detection, feature selection, and ...
The New York Times

A Surge in Breast Reductions

We explore why younger women are undergoing the cosmetic procedure. By Lisa Miller Lisa Miller tells stories about how people care for themselves for the Well section. Fashion is cyclical, and so are ...
Visual Studio Magazine

Data Dimensionality Reduction Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
The New England Journal of Medicine

Intensive Ambulance-Delivered Blood-Pressure Reduction in Hyperacute Stroke

Treatment of acute stroke, before a distinction can be made between ischemic and hemorrhagic types, is challenging. Whether very early blood-pressure control in the ambulance improves outcomes among ...
marktechpost

DynamicViz: A Framework for Generating Dynamic Visualizations of High-Dimensional Data Using Dimensionality Reduction Techniques

Dimensionality reduction (DR) is a method for analyzing high-dimensional data that involves minimizing the number of variables taken into account. Data visualization in two or three dimensions ...
Scientific Research Publishing

Adaptive Metric Learning for Dimensionality Reduction ()

1 Department of Statistics, Guangzhou University, Guangzhou, China. 2 Shenzhen Securities Communication Co., Ltd., Shenzhen, China. Metric learning, which aims to supply a metric to measure the ...