INF5300 - Vår 2015

Undervisningsplan

This is a draft / a tentative plan subject to change.

Dato	Undervises av	Sted	Tema	Kommentarer / ressurser
21.01.2015	Anne Solberg Are Jensen	Prolog	Introduction and a taste of the course. Classification basics (reminder).	Introduction (lecture foils) Feature-based classification basics (lecture foils)
28.01.2015	Are Jensen		Feature selection	Lecture foils (4pp). Reading material: Sections 5.1, 5.2, 5.5 (5.5.1 and 5.5.2 not too detailed), 5.6 in ”Pattern Recognition” by S. Theodoridis and K. Koutroumbas. For the randomized methods: Computational methods of feature selection, Liu, 2007, chapter Randomized feature selection, especially sections 6.4 and 6.5.
04.02.2015	Are Jensen		Linear feature transforms	Lecture foils (4pp). Reading material: The chapter on PCA in C.R. Shalizi's "Advanced Data Analysis from an Elementary Point of View". (Until the example in 17.2.) The section on LDA and Fisher's reduced rank LDA, 4.3, in The Elements of Statistical Learning, Hastie et al. Supporting material: Short appendix on Lagrange multipliers, from PRML, Bishop 2006. The following very elementary introduction to PCA might be useful for some: A tutorial on PCA, Shlens, 2009.
11.02.2015	Are Jensen		Lab on feature selection and linear transforms	Lab exercises Script on "curse of dimensionality" Feature selection example script
Self-study
25.02.2015	Anne Solberg		Regularization, and snakes - active contour models	Lecture notes New version without typos uploaded 3.3. Reading material: 3.7.1 and 5.1.1 i Szeliski 6.1-6.3 in Nixon and Aguado ~inf5300/pensum-artikler/activecontour_kap6.pdf
04.03.2015	Anne Solberg		Markov random fields and contextual models	Lecture notes
11.03.2015	Anne Solberg	DSB Lab (Room 4270)	Lab on active contours/Markov models	Lab exercise
18.03.2015	Are Jensen			NOTE: Lecture postponed one week due to illness.
25.03.2015	Are Jensen		Basics of support vector machine (SVM) classification	Lecture foils (4pp) Based on the sections from Pattern Recognition by Teodoridis/Koutroumbas found at /ifi/asgard/k00/inf5300/pensum-artikler: svm_kap3.pdf svm_kap4.pdf svm_appendix.pdf
				Mandatory exercise
Easter
08.04.2015	Anne Solberg		Extracting good features for matching/tracking	Lecture foils Curriculum: Chapter 4 in Szeliski. SIFT paper by Lowe Lax exercise
15.04.2015	Are Jensen	DSB Lab (Room 4270)	SVM lab	Lab exercises
22.04.2015	Anne Solberg		Image alignment and RANSAC	Lecture foils
29.04.2015	Anne Solberg		Motion estimation	Lecture foils (new)
06.05.2015	Anne Solberg		Lab	Lab on SIFT Lab on motion
13.05.2015	Are Jensen		Basics of graph-based semi-supervised learning	Lecture foils (4pp) Reading material: Chapelle et al. SSL chapter one. Bengio et al. Label propagation. Supporting material: Chapter 1-4 of X. Zhu. PhD thesis, 2005.
20.05.2015	Are Jensen		Lab on graphs and segmentation	Lab exercises INF5300_LPBasedImageSegmentation.zip
27.05.2015	Anne Solberg/Anne Jensen		Repetition	Suggestions for topics getting special attention are welcome. Anne's lecture foils

Publisert 6. jan. 2015 10:52 - Sist endret 27. jan. 2016 15:06