Object tracking is an important functionality of edge video analytic sys...
Existing classical optical network infrastructure cannot be immediately ...
The issue of group fairness in machine learning models, where certain
su...
Budgeted adaptive inference with early exits is an emerging technique to...
Edge computing is a paradigm that shifts data processing services to the...
Deep Neural Network (DNN) trained object detectors are widely deployed i...
This paper introduces a new metamodel-based knowledge representation tha...
Network sampling is integral to the analysis of social, information, and...