[Lisa_seminaires] NEW TIME: UdeM-McGill-MITACS machine learning seminar Tues April 14th, 11:30am, PAA3195
Hugo Larochelle
larocheh at iro.umontreal.ca
Jeu 10 Avr 14:32:41 EDT 2008
Next week's seminar (see http://www.iro.umontreal.ca/article.php3?
id_article=107&lang=en):
Restricted Boltzmann machines: Performance and behavior on image
databases and future plans
by Karol Gregor,
California Institute of Technology
Location: Pavillon André Aisenstadt (UdeM), room 3195
Time: April 14th 2008, 11:30am
Inspired by amazing capabilities of cortex and at the same time its
relatively homogeneous hierarchical structure, it is a worthwhile
pursuit to develop algorithms that can be repeated in a hierarchical
fashion and applied to large class of problems including vision,
speech recognition and motor control. Restricted Boltzmann machines
are a very capable tool and a good step in this direction. First, I
will discuss our study of the restricted Boltzmann machines on image
databases of Scenes and Caltech 256 as applied to bag of words of
sift features. I will show dependencies on various parameters and
comparison of performance to other methods. There are other
interesting conclusions too: For a given amount of labeled data, the
performance improves if the system is pre-trained on a larger number
of images; Neurons seem to appear after unsupervised pre-training
that explicitly represent certain categories (to some extent). Next I
will discuss a simple experiment with temporal sequences. Then I will
put this problem into the context of cortical computations and
outline a plan that I believe is very reasonable to undertake in the
future.
Plus d'informations sur la liste de diffusion Lisa_seminaires