Erik B. Sudderth
About
Erik B. Sudderth has authored 61 papers that have received a total of 1.9k indexed citations.
This includes 41 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (24 papers), Gaussian Processes and Bayesian Inference (16 papers) and Advanced Vision and Imaging (8 papers). Erik B. Sudderth is often cited by papers focused on Bayesian Methods and Mixture Models (24 papers), Gaussian Processes and Bayesian Inference (16 papers) and Advanced Vision and Imaging (8 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Erik B. Sudderth's co-authors include Alan S. Willsky, Emily B. Fox, Michael I. Jordan, Michael C. Hughes and William T. Freeman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Signal Processing.
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