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Computer Vision

Statistical Models for Marr's Paradigm

Song-Chun Zhu & Ying Nian Wu

Computer Vision
Computer Vision

Computer Vision

Statistical Models for Marr's Paradigm

Song-Chun Zhu & Ying Nian Wu

Paperback | Engels
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Omschrijving

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. This book covers David Marr's paradigm and various underlying statistical models for vision.

Song-Chun Zhu is Chair Professor at Peking and Tsinghua Universities, Director of Beijing Institute for General Artificial Intelligence, and Founding Dean of  School of Artificial Intelligence at Peking University. He received his M.S. degree and Ph.D. degree in computer science from Harvard University in 1994 and 1996 respectively, under the supervision of David Mumford. He joined UCLA in 2002 as an Associate Professor. He became a full professor at UCLA in 2006 and returned to China in 2020. While at UCLA, Zhu was the director of Vision, Cognition, Learning, and Autonomy (VCLA) Lab. His research areas include computer vision, statistical modeling, cognitive reasoning, robot autonomy and AI. He has received many awards for his research contributions, including Marr Prize in 2003, and Helmholtz Test-of-Time Award in 2013. He is a fellow of IEEE Computer Society. 

 

Ying Nian Wu is a professor in Department of Statistics,UCLA. He received his A.M. degree and Ph.D. degree in statistics from Harvard University in 1994 and 1996 respectively, under the supervision of Donald Rubin. He was an assistant professor in Department of Statistics, University of Michigan from 1997 to 1999. He joined UCLA in 1999. He was an assistant professor from 1999 to 2001. He was an associate professor from 2001 to 2006. He has been a full professor since 2006. Wu’s research areas include representation learning, generative modeling, computer vision, computational neuroscience, and bioinformatics. 





Specificaties

  • Uitgever
    Springer Nature Switzerland AG
  • Verschenen
    mrt. 2024
  • Genre
    Computervisie
  • Afmetingen
    235 x 155 mm
  • EAN
    9783030965327
  • Paperback
    Paperback
  • Taal
    Engels