TY - GEN
T1 - Target Robust Discriminant Analysis
AU - Kouw, Wouter M.
AU - Loog, Marco
PY - 2021
Y1 - 2021
N2 - In practice, the data distribution at test time often differs, to a smaller or larger extent, from that of the original training data. Consequentially, the so-called source classifier, trained on the available labelled data, deteriorates on the test, or target, data. Domain adaptive classifiers aim to combat this problem, but typically assume some particular form of domain shift. Most are not robust to violations of domain shift assumptions and may even perform worse than their non-adaptive counterparts. We construct robust parameter estimators for discriminant analysis that guarantee performance improvements of the adaptive classifier over the non-adaptive source classifier.
AB - In practice, the data distribution at test time often differs, to a smaller or larger extent, from that of the original training data. Consequentially, the so-called source classifier, trained on the available labelled data, deteriorates on the test, or target, data. Domain adaptive classifiers aim to combat this problem, but typically assume some particular form of domain shift. Most are not robust to violations of domain shift assumptions and may even perform worse than their non-adaptive counterparts. We construct robust parameter estimators for discriminant analysis that guarantee performance improvements of the adaptive classifier over the non-adaptive source classifier.
KW - Discriminant analysis
KW - Domain adaptation
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85104734662&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-73973-7_1
DO - 10.1007/978-3-030-73973-7_1
M3 - Conference contribution
AN - SCOPUS:85104734662
SN - 9783030739720
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 13
BT - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Proceedings
A2 - Torsello, Andrea
A2 - Rossi, Luca
A2 - Pelillo, Marcello
A2 - Biggio, Battista
A2 - Robles-Kelly, Antonio
PB - Springer
T2 - Joint IAPR International Workshops on Structural, Syntactic and Statistical Techniques in Pattern Recognition, S+SSPR 2020
Y2 - 21 January 2021 through 22 January 2021
ER -