3 papers
stat.ML2024
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
Xiaoke Wang, Xiaochen Yang, Rui Zhu +1
Positive-unlabeled (PU) learning aims to train a classifier using the data containing only labeled-positive instances and unlabeled instances. However, existing PU learning methods…
stat.ML2021
Robust Classification via Support Vector Machines
Vali Asimit, Ioannis Kyriakou, Simone Santoni +2
Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine le…
cs.CV2019
Constrained Mutual Convex Cone Method for Image Set Based Recognition
Naoya Sogi, Rui Zhu, Jing-Hao Xue +1
In this paper, we propose a method for image-set classification based on convex cone models. Image set classification aims to classify a set of images, which were usually obtained…