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3rd VIPS Advanced School on
Computer Vision, Pattern Recognition
and Image Processing
NEWS: 6 December 2004
Prof. Figueiredo has given us some new material!
>>here<<
NEWS: 23 November 2004
The school is now over and it's been a great success!
We wish to thank you prof. Figueiredo for being a great host, and all the
people who came to attend to our third school. Thank you all for the
wonderful experience, you made all our efforts worthwhile!
Click >>here<<
to access all the materials of this course as well as photographs of
the attendants.
NEWS: 10 October 2004
Checkin at 10 am (one hour before
course beginning)
Click >>here<<
for the final lectures schedule
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November 15-19, 2004
Organized by the Vision, Image Processing and
Sound Laboratory
Department of
Computer Science, University of Verona, Italy |
This is the 3rd Advanced School organized by the VIPS
laboratory, the third of a series of advanced lectures on significant topics in
Computer Vision, Pattern Recognition, and Image Processing.
These courses are particularly addressed to PhD
students, but open to all types of researchers. Each course will
typically last one week and will be focused on one specific topic
in order to provide a more productive interaction with the
lecturer.
The maximum number of participants is limited to 50
persons. In case of a larger number of applications, priority will be
given to PhD students.
This school is titled "Introduction to Bayesian
Inference and Statistical Learning".
Lecturer
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Department of Electrical and Computer
Engineering
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Instituto Superior Técnico (IST), Lisbon, Portugal
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Course title
Introduction to Bayesian Inference and Statistical Learning
Contents
1. Introduction to Bayesian decision theory.
Likelihoods and priors, Bayes rule, posterior expected loss,
Bayes-optimal decision rules (e.g., MAP, posterior mean, posterior
median, etc...), conjugate priors and exponential families,
sufficient statistics, non-informative priors, compound inference,
hierarchical models.
2. Estimation with missing data.
The EM algorithm, definition, monotonicity, convergence,
special case of exponential families, and application examples
(e.g. mixture models, robust inference, heavy tailed priors).
3. Linear regression.
Least squares and maximum likelihood regression, unbiasedness
and minimum variance, bias/variance decomposition, ridge regression, degrees
of freedom, LASSO regression, variable selection, bridge
regression, Bayesian interpretations, algorithms.
4. Linear classification
Generative versus discriminative approaches, logistic regression and
its generative interpretation, algorithms for logistic regression,
linear Fisher discriminants.
5. Model assessment and selection.
The bias/variance decomposition, in-sample error estimates,
Mallow's Cp criterion, Akaike's information criterion (AIC),
Bayesian information criterion (BIC), minimum description length (MDL).
6. Introduction to support vector machines.
Kernels, inner products, and Mercer's theorem; support vector
machines for classification of separable and non-separable data,
support vector regression.
7. Introduction Bagging, Boosting, and other ensemble
methods.
Additive models and trees, forward stagewise additive models,
exponential loss.
Final Lectures Schedule
Monday 15 |
Tuesday 16 |
Wednesday 17 |
Thursday 18 |
Friday 19 |
11 - 13 |
10 - 13 |
10 - 13 |
10 - 13 |
10 - 13 |
15 - 17 |
15 - 17 |
15 - 17 |
15 - 17 |
No Class |
Course Fees
150 euro for PhD and undergraduate
students.
200 euro for post doc, researchers, and other
people working directly in a university.
300 euro for everybody else.
Registration
If you are interested, you must send an email to vips_school@sci.univr.it
in which you ask for participation. Please, state your identity and
your status (undergraduate, PhD student, other) and wait for the
confirmation email. The ultimate deadline is October 18, 2004.
Attached to our confirmation email you will find a
registration form to print, compile and send together with a proof of the payment by fax before
October 25, 2004, to the following no. +39 045 8027068, to the
attention of Prof. V. Murino, 3nd VIPS School on Computer Vision,
Pattern Recognition, and Image Processing.
The proposed payment method is bank wire transfer
(all necessary data are in the form).
Important Dates
Registration deadline:
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October 18, 2004
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(E-mail)
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Course Fee payment deadline:
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October 25, 2004
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(Registration form + Proof of payment)
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School:
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November 15-19, 2004
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Accomodations
The accomodation costs are not
covered by the Course Fee. However, we have made agreements
with some convenient hotels and you can find a list of available
places here.
If you wish to take advantage of these opportunities please remember
to notify to the hotel that you are attending our school.
Information on how to reach our department
are presented in this page.
For any other information, please send an email to vips_school@sci.univr.it
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