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Advanced School on
Computer Vision, Pattern Recognition
and Image Processing

Click here for a tourist tour!
May 17-20, 2004
Organized by Vision, Image Processing and Sound Laboratory
University of Verona - Computer Science Department

This school would like to be the first of a series of seminars, aiming at offering advanced lectures on significant topics related to Computer Vision, Pattern Recognition, and Image Processing.
These schools are particularly addressed to PhD students, but all types of researchers are welcome.
They will typically hold one week on one specific topic, so that audience can install a more productive interaction with the lecturer.

The maximum number of participants is limited to 50 persons. In case of a larger number of applicants, priority will be given to PhD students.

This first school focuses on the statistical approach in computer vision, analyzing the graphical models for learning and inference with related applications.

Directors:

    Prof. Vittorio Murino
    Dr. Andrea Fusiello

Local organizers:

    Dr. Andrea Colombari
    Dr. Marco Cristani
    Dr. Michela Farenzena

Lecturer:

Course Title:

    Bayesian Networks and Algorithms for Inference and Learning: Applications in Computer Vision, Audio Processing, and Molecular Biology

Description:

    Algorithms for automatically analyzing images, video, audio, communication signals, biological sequences, text, and other types of data should take into account the uncertain relationships between inputs, intermediate representations, and outputs. Probability theory can account for these uncertainties, and provides a way to pose information processing problems as the computational task of finding an appropriate probability model and computing conditional probabilities using the model. Complex probability models for real-world applications often involve millions of random variables and intractable density functions, so probabilities cannot be computed using straightforward approaches.

    This course examines the fundamental concepts of graph-based formulations of complex probability models and introduces computationally efficient techniques for computing probabilities and estimating parameters in these models. Although the course is a "fundamentals" course, we will study several impressive real-world applications.

    Day 1
    Bayesian networks, Markov random fields and factor graphs. Computing probabilities in graphical models, the elimination algorithm and the sum-product algorithm. Generative models. Case study: Computer Vision.

    Day 2
    Learning observed graphical models, the exponential family. Parameterized models, parameters as variables, models for classification, regression and clustering. Learning partially unobserved graphical models, free energy, iterative conditional modes, the EM algorithm. Case study: Molecular Biology.

    Day 3
    Mixtures of Gaussians, HMMs, the multivariate Gaussian, factor analysis, linear dynamic systems, Kalman filtering and smoothing, learning linear dynamic systems. Variational techniques, the sum-product algorithm in graphs with cycles, Bethe free energy. Case study: Audio Processing.

    Day 4
    Monte Carlo methods, rejection sampling, adaptive rejection sampling, importance sampling, particle filters, Markov chain Monte Carlo methods, Gibbs sampling, Metropolis algorithm. Wrap-up.

Lecture Schedule:

    Monday10.00-13.0014.30-17.30
    Tuesday10.00-13.0014.30-17.30
    Wednesday10.00-13.0014.30-17.30
    Thursday10.00-13.0014.30-17.30

Course fee:

    150 euro for students, researchers, and other people working directly for a university
    300 euro for anybody else

Registration

    We have received a great number of registrations hence, from now on, you are requested to:

    • send us an email in which you ask for partecipation
    • wait our confirmation
    • after confirmation do the following steps:
      download the registration form, print it, fill each field (in capital letters), and send it with the money order by fax before April 30, 2004, to the following no. +39 045 8027068, to the attention of Prof. V. Murino, 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). The payment must be made by April 30, 2004.

    NOTE (for NOT italian people only): in the previous registration form the IBAN was wrong, please download the updated version.

Important dates:

    Registration deadline:April 30, 2004
    Course Fee payment deadline:April 30, 2004
    School:May 17-20, 2004

Accomodations

    NOTE: the accomodation costs are not included in the Course Fee.

    Follow a list of hotels with which we are in agreement:
    • Hotel Elena
      Tel. +39 045 820 0920
      Fax. +39 045 820 4966
      Rates:
      47 euro - single room
      68 euro - double room
      Location: Via Della Scala Mastin, 9 - 37134 - Verona
      Particularly close to Computer Science Department (about 300 metres). For more information how to reach computer science department click here . Then you can use the following map to reach the Hotel Elena.

    • Hotel Trieste s
      Tel. +39 045 800 4188
      Fax. +39 045 800 3510
      Rates:
      60 euro - single room
      85 euro - double room
      Location: Corso Porta Nuova, 57 - 37122 - Verona
      Located in the city centre near the railway station (about 500 metres).

      How to reach the school via BUS:
      HOTEL <--> RAILWAY STATION: AMT bus service 11,12,13
      For more information how to reach Hotel Trieste you can visit the Hotel Trieste web site where you can find a map.
      RAILWAY STATION <--> COMPUTER SCIENCE DEPT.: AMT bus service 21, 22
      For more information how to reach computer science department click here .

    • Hotel Mastino
      Tel. +39 045 595388
      Fax. +39 045 597718
      Rates:
      71 euro - single room
      90 euro - double room
      Location: Corso Porta Nuova, 16 - 37122 - Verona
      Located in the city centre near the railway station (about 700 metres).

      How to reach the school via BUS:
      HOTEL <--> RAILWAY STATION: AMT bus service 11,12,13
      For more information how to reach Hotel Mastino you can visit the Hotel Mastino web site where you can find the position.
      RAILWAY STATION <--> COMPUTER SCIENCE DEPT.: AMT bus service 21,22
      For more information how to reach computer science department click here .

    • Residence Hotel Castelvecchio
      Tel. +39 045 594755
      Fax. +39 045 595304
      Rates:
      139.50 euro - flat for 4 people
      116.40 euro (to be discounted) - two-roomed flat
      95.80 euro (to be discounted) - single-roomed flat (this kind of flat can be used as a double since there is a small double bed)
      Location: Corso Cavour, 46/48 - 37121 - Verona
      Located in the city centre.

      How to reach the school via BUS:
      HOTEL <--> RAILWAY STATION: AMT bus service 11,12,13
      For more information how to reach Residence Hotel Castelvecchio you can visit this web page where you can find a map.
      RAILWAY STATION <--> COMPUTER SCIENCE DEPT.: AMT bus service 21,22
      For more information how to reach computer science department click here .

    How to reach us

    For any other information, please send an email to school_info@zeus.sci.univr.it

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Last revision: 17 March 2004