David M. J. Tax
About
David M. J. Tax has authored 72 papers that have received a total of 4.4k indexed citations.
This includes 47 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 8 papers in Biomedical Engineering. The topics of these papers are Anomaly Detection Techniques and Applications (16 papers), Image Retrieval and Classification Techniques (13 papers) and Face and Expression Recognition (12 papers). David M. J. Tax is often cited by papers focused on Anomaly Detection Techniques and Applications (16 papers), Image Retrieval and Classification Techniques (13 papers) and Face and Expression Recognition (12 papers) and collaborates with scholars based in The Netherlands, United States and United Kingdom. David M. J. Tax's co-authors include Robert P. W. Duin, Marco Loog, Veronika Cheplygina, Wenjie Pei and Yulia Arzhaeva and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing
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