Matthew D. Mullin
About
Matthew D. Mullin has authored 6 papers that have received a total of 269 indexed citations.
This includes 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. The topics of these papers are Face and Expression Recognition (4 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Matthew D. Mullin is often cited by papers focused on Face and Expression Recognition (4 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States. Matthew D. Mullin's co-authors include S. Charles Brubaker, Jianxin Wu, James M. Rehg, John Shawe‐Taylor and Mario Marchand and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Machine Learning Research.
In The Last Decade
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