Probabilistic Models of
Human and Machine Intelligence
Assigned Sep 10
Due Sep 17
goal of this assignment is to give you experience in reading research
articles involving probabilistic approaches to machine learning.
Write a one-page commentary on the Weiss,
Simoncelli, & Adelson (2002) article that we discuss in class on
September 10. The article is fairly dense -- both in understanding the
issues in human and machine vision as well as in the modeling
methodology -- but hopefully the overview of the paper I give in class
is sufficient to unpack the paper.
The commentary should start with a summary of what you think the main
or most interesting ideas are in the article. You do not need to
summarize the entire article. You can assume that the reader of
your commentary will have read the article, but give your take on why
others should be interested in it and what research contribution it
After this summary of the main ideas, you can embellish your commentary
with one or more of the following:
- Questions about the
for further discussion, either
clarification questions or points of disagreement with the authors (``I
don't see how such and such will work as the author claims...'').
- Comments on how the
assigned reading relates to other
material you've read, or, if you feel ambitious, you can track down
related work in the field and discuss how the assigned article compares
to this other work.
- A critique of the work, that might include: What
are the flaws in the
presented? What are the limitations? Do the authors place their work in
the appropriate theoretical perspective? Do the authors overstate their
- Your ideas for how the work could be extended or made more
interesting and more relevant.