244 citations · 364 across the 5 of their papers we have counts for
Showing 2016 · cs.CVShow all
2 papers · 2 filters
cs.CV2016★ 4 cited
Object Tracking via Dynamic Feature Selection Processes
Giorgio Roffo, Simone Melzi
DFST proposes an optimized visual tracking algorithm based on the real-time selection of locally and temporally discriminative features. A feature selection mechanism is embedded i…
cs.CV2016★ 58 cited
Feature Selection Library (MATLAB Toolbox)
Giorgio Roffo
The Feature Selection Library (FSLib) introduces a comprehensive suite of feature selection (FS) algorithms for MATLAB, aimed at improving machine learning and data mining tasks. F…