29 citations · 32 across the 2 of their papers we have counts for
3 papers
An Empirical Evaluation of -Means Coresets
Chris Schwiegelshohn, Omar Ali Sheikh-Omar
Coresets are among the most popular paradigms for summarizing data. In particular, there exist many high performance coresets for clustering problems such as -means in both theo…
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol
Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
Domain Adaptation is the process of alleviating distribution gaps between data from different domains. In this paper, we show that Domain Adaptation methods using pair-wise relatio…
Supervised Domain Adaptation using Graph Embedding
Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis
Getting deep convolutional neural networks to perform well requires a large amount of training data. When the available labelled data is small, it is often beneficial to use transf…