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 ...
Abstract: To address the deficiencies of frequently missed detections of small targets and low accuracy under occlusion scenarios, this paper proposes a feature extraction network based on attention ...
This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...
At the University of Arizona, a new lab is giving scientists the tools to predict the future of life on Earth. The Data ...
One government agency improved its detection of identity fraud using AI-driven alerts and a smart triage system. Within a few ...
According to Towards FnB, the global coffee extract market size reached USD 1.57 billion in 2026 and is anticipated to surge ...
TWIX is a tool for automatically extracting structured data from templatized documents that are programmatically generated by populating fields in a visual template. TWIX infers the underlying ...