Tech Xplore

Can AI quantify beauty? New study suggests it can't

Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, ...
IEEE

Multistage PCA Whitening: A Robust Method to Dimensionality Reduction in Image Retrieval

Abstract: Generating compact and robust feature representations using principal component analysis (PCA) is crucial for image retrieval tasks. However, most existing methods require PCA parameters to ...
UroToday

A comparison of dimensionality reduction approaches for pre-treatment PSMA-PET/CT radiomics in prostate adenocarcinoma outcome prediction.

To compare dimensionality-reduction methods for building prognostic models predicting metastasis-free survival (MFS) in localized prostate adenocarcinoma (PCa) patients treated with ...
Game Rant

How to Increase Shiny Odds in Pokemon Legends Z-A Mega Dimension DLC

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
IEEE

Empirical Study of Principal Component Analysis (PCA): A Comparison of Various Dimensionality Reduction Methods Based on the Wisconsin Breast Cancer and Fashion MNIST Datasets

Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...