EN 580.466 - Statistical Methods in Imaging

Institution:

Johns Hopkins University

Subject:

Description:

Denoising, segmentation, texture modeling, tracking, object recognition are challenging problems in imaging. We will present a collection of statistical models and methods in order to adress these, including the E.M algorithm, Maximum Entropy Modeling, Markov Random Fields, Markov Chain Monte Carlo, Boltzmann Machines and Multilayer Perceptrons. Prerequisites: 110.202 and 550.310/equiv.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.jhu.edu

Phone Number:

(410) 516-8000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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