Theses most similar to those of author Sun, Walter

Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques (2005) read it

  • Advisors: Alan S. Willsky; Edward H. Adelson
  • Department of Electrical Engineering and Computer Science
  • Advisor: Alan S. Willsky
  • Department of Electrical Engineering and Computer Science
  • Advisor: Müjdat Çetin
  • Department of Electrical Engineering and Computer Science
  • Advisor: Hanumant Singh
  • Department of Ocean Engineering
  • Advisor: Darrell, Trevor
  • Department of Electrical Engineering and Computer Science
  • Advisor: Alan S. Willsky
  • Department of Electrical Engineering and Computer Science
  • Advisor: John J. Leonard
  • Department of Mechanical Engineering
  • Advisor: Freeman, William Tafel
  • Department of Electrical Engineering and Computer Science
  • Advisor: Michael C. Fehler
  • Department of Electrical Engineering and Computer Science
  • Advisors: Alan S. Willsky; Freeman, William Tafel
  • Department of Electrical Engineering and Computer Science

Analysis and interpretation of glide characteristics in pursuit of an algorithm for recognition (1996) read it

  • Advisor: Kenneth Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisor: Kenneth N. Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisor: Kenneth N. Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisors: Darrell, Trevor; James Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Deb Roy
  • Department of Electrical Engineering and Computer Science
  • Advisor: Kenneth Noble Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisor: Kenneth N. Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisor: K.N. Stevens
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: David Hudson Staelin
  • Department of Electrical Engineering and Computer Science