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.
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.
Dr. Andrea Fusiello
Dr. Marco Cristani
Dr. Michela Farenzena
Bayesian Networks and Algorithms for Inference and Learning: Applications in Computer Vision, Audio Processing, and Molecular Biology
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.
300 euro for anybody else
We have received a great number of registrations hence, from now on, you are requested to:
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.
NOTE: the accomodation costs are not included in the Course Fee.
For any other information, please send an email to firstname.lastname@example.org