17 citations · 21 across the 3 of their papers we have counts for
3 papers
Change point detection in high dimensional data with U-statistics
B. Cooper Boniece, Lajos Horváth, Peter Jacobs
We consider the problem of detecting distributional changes in a sequence of high dimensional data. Our approach combines two separate statistics stemming from norms whose be…
Active learning for reducing labeling effort in text classification tasks
Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco Wiering +1
Labeling data can be an expensive task as it is usually performed manually by domain experts. This is cumbersome for deep learning, as it is dependent on large labeled datasets. Ac…
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang, Peter Jacobs, Jiankai Sun +1
In this paper, we propose a novel framework, called Semi-supervised Embedding in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector representation that sy…