Lefschetz Center for Dynamical Systems Seminar
LEMS and Electrical Science Seminar
Brown Applied Mathematics Pattern Theory and Vision Seminar
Abstract:
``Structure From Motion'' (SFM) is concerned with estimating both the
structure of the 3-D environment and its motion relative to a viewer
from a sequence of 2-D images.
We will show how the problem can be cast naturally within the
framework of Dynamical Systems that evolve on certain manifolds.
By performing model reduction on the "natural" dynamical system,
one can re-discover (and therefore compare) all the models proposed
in the literature to estimate SFM, as well as impose constraints
such as gaze fixation or "plane-parallax". One can also prove the
feasibility of SFM by means of observability analysis of (any of)
the models.
Despite the fact that SFM has been an active field of research for
decades, so far no algorithms have been proven to work successfully
in real-time on natural (non-structured) environments. This has led
some to conclude that SFM is too hard a problem to be solved in
full generality. We will discuss what we believe are the crucial
obstacles to the practical realization of general SFM algorithms.
PDE Seminar
Brown University Center for Statistical Sciences Seminar
Abstract: In many epidemiologic studies the first indication of an environmental or genetic contribution to the disease is the way in which the diseased cases cluster within the same family units. We assume that all individuals are exchangeable, except for their disease status. This assumption of exchangeability is used to test the initial hypothesis of no familial link with the disease. Conditional on the distribution of the sizes of the various familial units, we obtain the exact probability of observing a given set of disease cluster frequencies. The expected frequencies and other moments are given. Two numerical examples demonstrate these methods. We describe an algorithm for obtaining exact statistical inference by enumerating all possible outcomes consistent with the numbers and sizes of the family units.
Department of Mathematics Colloquium
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