IEEE

Robust Multilabel Feature Selection With Label Enhancement for Fault Diagnosis

Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...
GitHub

Lightweight Adaptive Feature Selection Network for Enhanced Small Object Detection in UAV Imagery

Official PyTorch implementation of LWSDet. [Lightweight Adaptive Feature Selection Network for Enhanced Small Object Detection in UAV Imagery] Jinxia Yu, Jie Wu, Yongli Tang Abstract To address the ...
ungeek

Code Vein II will offer ‘freedom of selection’ in gameplay and story, says the game’s producer and director

After trying out a three-hour demo of the game, I got to ask some questions to Code Vein II director Hiroshi Yoshimura and producer Keita Iizuka in a media roundtable interview. There, the director ...
IEEE

Gram–Schmidt Methods for Unsupervised Feature Extraction and Selection

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...