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Kursusbeskrivelse
Kursusnavn (dansk):Videregående billedanalyse 
Kursusnavn (engelsk):Advanced Image Analysis 
Semester:Forår 2007 
Udbydes under:cand.it., medieteknologi og spil (mtg) 
Omfang i ECTS:10,00 
Kursussprog:Engelsk 
Kursushjemmeside:https://learnit.itu.dk 
Min. antal deltagere:0 
Forventet antal deltagere:0 
Maks. antal deltagere:20 
Formelle forudsætninger:02409 Multivariate Statistics
and
02501 Digital image analysis, vision and computer graphics 
Læringsmål:To give the participants a more thorough understanding of statistical methods with special emphasis on revealing the structure of multidimensional data.

The participants are expected:
- to learn to assess multidimensional (linear and non-linear) relations and estimate best predictors,
- to analyze the influence of complicated experimental designs, (uni- or multi- dimensional.) measurements,
- to assess whether multidimensional data can be reduced to lower dimensionality and in doing this,
- to assess whether a number of features in a population can be described with a few \"factors\",
- to discriminate between different populations using simple (linear) functions of measurements of different features of the single individuals,
- to separate a given set of data into relatively homogeneous classes,
- to assess the structure of and relations between phenomena which vary in time, and lastly
- to be able to use standard computer programs.
 
Fagligt indhold:Multidimensional models: Multidimensional distributions, multiple and partial correlation.

The general linear model: Estimation and testing, geometric interpretation.

Regression analysis: Estimation and testing, determination of best regression equations, analysis of residuals, prediction intervals, non-linear analysis etc.

Analysis of variance: Crossed and hierarchical models, models with systematic and random error.

Multidimensional. analysis of variance: Hotellings discriminators, test for discriminators of a given structure.

Canonical analysis: Canonical correlation, principal components, factor analysis.

Cluster analysis: Hierarchical and non-hierarchical methods.

Correlation models: Models for random phenomena which vary in time and space.

Remarks:
The course is a general methodological course aimed at students interested in the analysis of multidimensional data or in achieving an overview over a number of the most common statistical methods.
 
Læringsaktiviteter:12 forelæsninger og 12 øvelsesgange

Lectures and exercises

NB! This is a course of exchange, that is offered by DTU. Please find more information about how and when the course runs at the DTU homepage. 

Eksamensform og -beskrivelse:X. experimental examination form (7-scale; external exam), Bestået/ikke bestået, Intern censur

 

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