Jeff Calder

45 papers and 435 indexed citations i.

Jeff Calder has authored 45 papers that have received a total of 435 indexed citations. This includes 16 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Markov Chains and Monte Carlo Methods (8 papers), Statistical Methods and Inference (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jeff Calder is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Statistical Methods and Inference (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Jeff Calder's co-authors include Alfred O. Hero, Anthony Yezzi, Selim Esedoḡlu, Ko-Jen Hsiao and Dejan Slepčev and has published in prestigious journals such as IEEE Transactions on Image Processing, Communications on Pure and Applied Mathematics and SIAM Journal on Numerical Analysis.