CSC 2541
Topics in Machine Learning:
Natural Scene Statistics
Winter 2005

Schedule of Presentations

Class

Topic

Paper Title

Author(s)

Presenters

Jan. 7

Natural image statistics

Statistics of natural images and models

The statistics of natural images

Huang, Mumford

Ruderman

Zemel

(notes: ps; pdf)

Jan. 14

Non-Gaussian marginals

Natural image statistics and efficient coding

"Independent components" of natural scenes...

ICA tutorial (bkgd reading)

Olshausen & Field

Bell & Sejnowski

Hyvarinen

Zemel

(notes: ps; pdf)

Jan. 21

Markov Random Fields & texture analysis

Learning low-level vision

Minimax principle...

Freeman, Pasztor, Carmichael

Zhu, Mumford

Cheung

Jan. 28

Beyond edges

Natural signal statistics

Multi-layer sparse coding

Schwartz, Simoncelli

Hoyer, Hyvarinen

Silva (notes;demo)

Thanga

Feb. 4

Higher-order structure

Learning higher-order...

GSMs

Karklin, Lewicki

Wainwright, Simoncelli

Ross

Braziunas

Feb. 11

Intrinsic images

Deriving intrinsic images...

Recovering intrinsic images...

Weiss

Tappen et al

Zemel/Marlin (notes;demo)

A Mnih

Feb. 18

Reading Week

Feb. 25

Classification & segmentation

Natural image categories

Learning to detect image boundaries (short;long)

Torralba & Oliva

Martin et al

Hyndman

Ray

Mar. 7

Graphics applications

Flash/no-flash

Inpainting

Epitomes

Petschnigg et al

Levin et al

Jojic et al

Bondarenko

Shai

Shai

Mar. 11

Forgery detection

Art authentication

Exposing digital forgeries

Popescu/Farid

Lyu et al

Coleman

Azarmgin

Mar. 18

Learning visual features

Products of experts

Products of topographic features ( short; long)

Hinton

Osindero et al

Osindero

Mar. 25

Good Friday

Apr. 1

Sequences

Spatiotemporal sparse coding

Activity bubbles and natural image sequences

Olshausen

Hyvarinen et al

He

V Mnih

Apr. 8

Son et lumiere

Chromatic structure of natural images

Coding natural sounds

Wachtler et al

Lewicki

Brubaker

Azarmgin

OTHER TOPICS/PAPERS

Learning intrinsic images (low-level vision):

Gaussian scale mixtures:

Higher order structure:

Sounds:

Sequences:

Categorization:

Edge Detection:

Color:

Image compression:

Texture synthesis:

Transparency:

Forgery detection:

Graphics applications:

Image processing applications:

How to write a conference paper: