2023 - Research.com Mathematics in United States Leader Award
His main research concerns Artificial intelligence, Computer vision, Mathematical analysis, Active contour model and Image processing. Allen Tannenbaum works in the field of Artificial intelligence, namely Image segmentation. His research integrates issues of Edge detection, Robustness and Energy functional in his study of Image segmentation.
His Motion estimation, Image and Image resolution study, which is part of a larger body of work in Computer vision, is frequently linked to Flux, bridging the gap between disciplines. His study in Mathematical analysis is interdisciplinary in nature, drawing from both Smoothing and Geometry, Curvature, Affine transformation. Allen Tannenbaum has researched Active contour model in several fields, including Feature, Kalman filter, Particle filter, Computational geometry and Topology.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Segmentation, Image segmentation and Pattern recognition. Artificial intelligence and Algorithm are frequently intertwined in his study. His works in Tracking, Eye tracking, Particle filter, Video tracking and Image registration are all subjects of inquiry into Computer vision.
His Pattern recognition research is mostly focused on the topic Shape analysis. His study focuses on the intersection of Robustness and fields such as Mathematical optimization with connections in the field of Applied mathematics. His Active contour model study frequently draws connections between related disciplines such as Edge detection.
Allen Tannenbaum mostly deals with Artificial intelligence, Applied mathematics, Computational biology, Mass transport and Pattern recognition. His work deals with themes such as Lung cancer and Computer vision, which intersect with Artificial intelligence. His study on Applied mathematics also encompasses disciplines like
In his research on the topic of Pattern recognition, Lung cancer screening and Algorithm is strongly related with Feature. His Robustness study incorporates themes from Mathematical optimization and Curvature, Ricci curvature. His Segmentation and Image segmentation and Scale-space segmentation investigations all form part of his Segmentation research activities.
His primary areas of study are Curvature, Biological network, Matrix, Applied mathematics and Glymphatic system. The study incorporates disciplines such as Exact solutions in general relativity, Gene regulatory network, Pure mathematics and Graph in addition to Curvature. His studies in Biological network integrate themes in fields like Cancer drugs, Robustness, Anticancer drug, Network analysis and Robustness.
His Applied mathematics study also includes fields such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Feedback Control Theory
John Comstock Doyle;Bruce A. Francis;Allen R. Tannenbaum.
Localizing Region-Based Active Contours
S. Lankton;A. Tannenbaum.
IEEE Transactions on Image Processing (2008)
Gradient flows and geometric active contour models
S. Kichenassamy;A. Kumar;P. Olver;A. Tannenbaum.
international conference on computer vision (1995)
A geometric snake model for segmentation of medical imagery
A. Yezzi;S. Kichenassamy;A. Kumar;P. Olver.
IEEE Transactions on Medical Imaging (1997)
Shapes, shocks, and deformations I: the components of two-dimensional shape and the reaction-diffusion space
Benjamin B. Kimia;Allen R. Tannenbaum;Steven W. Zucker.
International Journal of Computer Vision (1995)
Robust control of linear time-invariant plants using periodic compensation
P. Khargonekar;K. Poolla;A. Tannenbaum.
IEEE Transactions on Automatic Control (1985)
Behavioral analysis of anisotropic diffusion in image processing
Yu-Li You;Wenyuan Xu;A. Tannenbaum;M. Kaveh.
IEEE Transactions on Image Processing (1996)
Conformal curvature flows: From phase transitions to active vision
Satyanad Kichenassamy;Arun Kumar;Peter Olver;Allen Tannenbaum.
Archive for Rational Mechanics and Analysis (1996)
Kaleem Siddiqi;Sylvain Bouix;Allen Tannenbaum;Steven W. Zucker.
International Journal of Computer Vision (2002)
Affine invariant scale-space
Guillermo Sapiro;Allen Tannenbaum;Allen Tannenbaum.
International Journal of Computer Vision (1993)
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