معرفی
Martine Tan is a Doctoral Research Fellow at the University of Oslo, affiliated with the Research Group for Digital Signal Processing and Image Analysis. She holds a position within the Faculty of Mathematics and Natural Sciences and the Department of Digital Signal Processing and Image Analysis (DSB). Her work focuses on probabilistic modeling of visual data and computational challenges in statistical estimation.
Research interests include digital signal processing, image analysis, machine learning, computer vision, data science, and pattern recognition. These areas are reflected in her publications, such as her 2023 study on hierarchical topic discovery in images and a 2021 paper exploring computational barriers in LASSO solutions. Her research bridges theoretical frameworks with practical applications in visual and statistical domains.
Martine’s academic contributions emphasize probabilistic methodologies and high-dimensional data challenges. She has no explicitly stated scientific awards or part-time affiliations. No advising roles or grant information is provided in the text. She is part of the Digital Signal Processing and Image Analysis research group at UiO.
