1996 Ph.D., Harvard University, Cambridge, MA
1994 M.S., Harvard University, Cambridge, MA
1991 B.S., University of Science and Technology of China, at Hefei, China

Statistics and Computer Science, UCLA

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Teaching Courses

My recipe for teaching advanced topics in Computer Vision, Pattern Recognition and Machine Learning:

I divide the literature into three methods:
  • descriptive
  • generative
  • discriminative

Each method include two aspects:

  • representation
  • computation

  descriptive generative discriminative
representation Stat232A-CS266A Stat232A-CS266A Stat231-CS276A

Stat232B-CS266B Stat232B-CS266B Stat231-CS276A

University of California, Los Angeles (Statistics cross-listed with Computer Science)

Stat231-CS276A Pattern Recognition and Machine Learning
Stat232A-CS266A Statistical Modeling and Learning in Vision and Image Science
Stat232B-CS266B Statistical Computing and Inference in Vision and Image Science
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Song-Chun Zhu received his BS degree from Univ. of Sci.& Tech. of China in 1991 and a PhD degree from Harvard University in 1996. He is a professor of Statistics and Computer Science at UCLA, and director of the Center for Vision, Learning, Cognition and Arts (VCLA@UCLA). His research interests include computer vision, statistical modeling and learning, cognition, and visual arts. He has received a number of honors, including the J.K. Aggarwal prize from the Intl Association of Pattern Recognition in 2008 for “contributions to a unified foundation for visual pattern conceptualization, modeling, learning, and inference”, the David Marr Prize in 2003 with Z. Tu et al. for image parsing, the Marr Prize honorary nominations i n 1999 for texture modeling and 2007 for object modeling with Y. Wu et al., a Sloan Fellowship in Computer Science in 2001, an NSF Career Award in 2001, and an ONR Young Investigator Award in 2001. He is a Fellow of IEEE.