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The goal of the MPLab is to develop systems that perceive and interact with humans in real time using natural communication channels. To this effect we are developing perceptual primitives to detect and track human faces and to recognize facial expressions. We are also developing algorithms for robots that develop and learn to interact with people on their own. Applications include personal robots, perceptive tutoring systems, and system for clinical assessment, monitoring, and intervention.

  • Introduction to the MPLab (PDF)
  • MPLAB 5 Year Progress Report (PDF)

  • NEWS


    From Slashodot  Open Source Speech Recognition artical

    AAAI may also be a decent venue for some of the projects done in mplab.  Here is a link to past conferences to get an idea: http://www.aaai.org/Library/conferences-library.phpThe deadline for the 2008 conference is Jan 30, though some have abstracts due on the 25th.  Here’s the link:  http://www.aaai.org/Conferences/AAAI/aaai08.php 

    ICML and UAI have about the same audiences as NIPS.  I’m not sure what should make you choose ICML versus UAI.  They are opposite in schedule as NIPS: submit in winter, conference in summer.  So a lot of people basically make two conference trips per year.  This year UAI, ICML, and COLT are at the same place and location.Feb 8: ICML deadlineFeb 27: UAI abstract deadline, Feb 29 full submission. http://uai2008.cs.helsinki.fi/cfps.shtml 

    A group of university professors has written a letter of concern about the recent audit of the Preuss School.

    letterofconcern.pdf

    The Association of California School Administrators Recently Sent Another Letter of Concern

    Here is an interesting study showing that a $90 wine may taste beter than the same wine at $10 http://www.news.com/8301-13580_3-9849949-39.html?tag=newsmap

    IEEE Workshop on CVPR for Human Communicative Behavior
    http://www.doc.ic.ac.uk/~maja/cvpr4hb.html
    Deadline for paper submissions is March 25th 2008

    http://www.sciam.com/article.cfm?id=2007-year-in-robots

    Stephen Boyd teaches a Linear Dynamical Systems course at Stanford. The course webpage is

    http://stanford.edu/class/ee363/

    The lecture notes are excellent, and are recommended for anyone interested in a crash course in Linear Dynamical Systems topics (LQR, Kalman Filter, etc.) Here is a list of topics covered:

    1. Linear quadratic regulator: Discrete-time finite horizon
    2. LQR via Lagrange multipliers
    3. Infinite horizon LQR
    4. Continuous-time LQR
    5. Invariant subspaces
    6. Estimation
    7. The Kalman filter
    8. The extended Kalman filter
    9. Conservation and dissipation
    10. Basic Lyapunov theory
    11. Linear quadratic Lyapunov theory
    12. Lyapunov theory with inputs and outputs
    13. Linear matrix inequalities and the S-procedure
    14. Analysis of systems with sector nonlinearities
    15. Perron-Frobenius theory


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