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Introduction of New Associate Editors

David J.

Pages: 1505-1506

We would like to express our sincere gratitude to Pascal Fua, Chandra Kambhamettu, Jonathon Phillips, Gillermo Sapiro, Harpreet Sawhney, and Phil Torr who are retiring as TPAMI Associate Editors. While they'll remain active for a few more months as they wrap up papers still in their charge, they will be missed. They have all been dedicated editors for as long as I've been the EIC and contribute an enormous amount of their time and energy to the community. Thank you very much!

We are also pleased to announce that Dr. Serge Belongie, Marina Meila, and Dr. Daphna Weinshall have joined TPAMI as Associate Editors and will strengthen our depth in computer vision. Professor Belongie will oversee papers in segmentation and grouping, shape representation, object recognition, detection and categorization, motion and tracking, and video analysis and event recognition. Professor Meila will be considering papers in the areas of computational statistics, optimization in data analysis, clustering, graphical models, and spectral methods. Professor Weinshall will be considering papers in the areas of object detection, object and class recognition, and feature extraction.

Welcome to TPAMI's editorial board, and we look forward to working with you.

David Kriegman, Editor-in-Chief

David Fleet, Associate Editor-in-Chief

Zoubin Ghahramani, Associate Editor-in-Chief

About the Authors

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Serge Belongie received the BS degree (with honors) in electrical engineering from the California Institute of Technology in 1995 and the MS and PhD degrees in electrical engineering and computer sciences (EECS) from the University of California Berkeley in 1997 and 2000, respectively. While at Berkeley, his research was supported by a US National Science Foundation (NSF) Graduate Research Fellowship. He is also a cofounder of Digital Persona, Inc., and the principal architect of the Digital Persona fingerprint recognition algorithm. He is currently an associate professor in the Computer Science and Engineering Department at the University of California San Diego. His current research interests include context-based object recognition, nonrigid structure from motion, and assistive technology for the visually impaired. He is a recipient of the NSF CAREER Award and the Alfred P. Sloan Research Fellowship. In 2004, MIT Technology Review named him to the list of the 100 top young technology innovators in the world (TR100).
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Marina Meila received the MS degree in electrical engineering from the Polytechnic University of Bucharest in 1985 and the PhD degree in computer science and electrical engineering from the Massachusetts Institute of Technology in 1999. She is an associate professor of statistics at the University of Washington. She held appointments at the Bucharest Research Institute for Computer Technology, the Polytechnic University of Bucharest, and the Robotics Institute of Carnegie Mellon University. Her long term interest is in machine learning and reasoning in uncertainty. She has worked in domains such as vision and robotics, but most of all on the theoretical and algorithmic aspects of clustering, classification, and statistical modeling of combinatorial and algebraic structures.
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Daphna Weinshall received the BSc degree in mathematics and computer science from Tel-Aviv University, Israel, in 1982. She received the MSc and PhD degrees in mathematics and statistics from Tel-Aviv University in 1985 and 1986, respectively, working on models of evolution and population genetics. Between 1987 and 1992, she visited the Center for Biological Information Processing at the Massachusetts Institute of Technology and the IBM T.J. Watson Research Center. In 1993, she joined the Institute of Computer Science at the Hebrew University of Jerusalem, where she is now a full professor. Her research interests include computer and biological vision and machine and human learning. Her recent interests include the learning of distance functions, object class recognition, cognitive passwords, and the development of computational tools for the evaluation of mental illnesses.
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