AIC Seminar Series
How to solve the Invariance Problem using Memory and Prediction
Date: 2005-01-20 at 16:00
Location: Enterprise Room (3rd floor of E building) (Directions)
Humans can recognize objects despite the drastically different images that
on our retina under different situations. This is known as the invariance
How this invariance is achieved is still a mystery for computer vision and
In this talk Dileep George will review the past approaches for solving this
describe a new way of thinking about the Invaraince Problem under the
described in "On Intelligence". He will describe how Invariance can be
obtained automatically as a result of learning to predict the future. The
talk will include a probabilistic formulation of the Memory-Prediction
and a demonstration of results achieved so far on a space of binary
Dileep George is a Graduate Research Fellow at the Redwood Neuroscience
Institute and a PhD student
in Electrical Engineering at Stanford University. His current research is on
building statistical models of
memory and prediction with a focus on biological vision. He received a
B.Tech in Electrical Engineering
from Indian Institute of Technology - Bombay and an MS in Electrical
Engineering from Stanford University.
He spent several years in the industry and designed baseband receiver
algorithms for 3rd generation
wireless devices before getting interested in neuroscience.
Please arrive at least 10 minutes early as you will need to sign in by
following instructions by the lobby phone at Building E. SRI is located
at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the parking
lots off Fourth Street. Detailed directions to SRI, as well as maps, are
available from the Visiting AIC web page.
There are two entrances to SRI International located on Ravenswood Ave.
Please check the Builing E entrance signage.
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