Feb 9 – 11, 2015
UC_Berkeley/LBNL
US/Pacific timezone

Scientific Program

  • Algorithms and theoretical analysis

    Mathematical evaluation of pattern recognition problems, fitting, effect of noise, treatment of multiple scattering, theoretical limits, etc.

  • Parallel and/or discrete pattern recognition

    Includes Hough transform approaches, look-up tables, associative memory.

  • Neural networks, machine learning, and neuromporhic approaches

    Includes both software/firmware implementations and exploration of neuromorphic hardware

  • Applications and performance evaluation

    Examples of implemented pattern recognition problems and solutions with emphasis on new challenges and limits of scaling existing approaches.