3 citations · 3 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho, Shang-Ho, Tsai
Continuous learning seeks to perform the learning on the data that arrives from time to time. While prior works have demonstrated several possible solutions, these approaches requi…
cs.CV2019
An Interpretable Compression and Classification System: Theory and Applications
Tzu-Wei Tseng, Kai-Jiun Yang, C. -C. Jay Kuo +2
This study proposes a low-complexity interpretable classification system. The proposed system contains three main modules including feature extraction, feature reduction, and class…