VS298: Natural Scene Statistics: Difference between revisions

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|  '''ICA and sparse coding''' <br />
|  '''ICA and sparse coding''' <br />
* Olshausen & Field (1997) <br />
* Olshausen & Field (1997) <br />
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|  '''Statistics of natural sound and auditory coding''' <br />
|  '''Statistics of natural sound and auditory coding''' <br />
* Clark & Voss: '1/f noise and music' <br />
* Clark & Voss: '1/f noise and music' <br />
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|  '''Higher-order group structure''' <br />
|  '''Higher-order group structure''' <br />
* Geisler: contour statistics <br />
* Geisler: contour statistics <br />
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|  '''Energy-based models''' <br />
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* Osindero & Hinton<br />
* Osindero & Hinton<br />
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|  '''Learning invariances through 'slow feature analysis'''' <br />
|  '''Learning invariances through 'slow feature analysis'''' <br />
* Foldiak/Wiskott: slow feature analysis <br />
* Foldiak/Wiskott: slow feature analysis <br />
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|  '''Manifold and Lie group models''' <br />
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| '''Hierarchical models''' <br />
| '''Hierarchical models''' <br />
* Shan & Cottrell:  stacked ICA
* Shan & Cottrell:  stacked ICA
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Revision as of 07:13, 3 February 2014

This seminar will examine what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

Instructor: Bruno Olshausen

Enrollment information:

VS 298 (section 4), 2 units
CCN: 66489

Meeting time and place:

Monday 6-8, Evans 560

General reading:

  • Natural Image Statistics by Hyvarinen, Hurri & Hoyer
  • Geisler WS (2008) Visual perception and the statistical properties of natural scenes, Annual Review of Psychology paper

Schedule:

Date Topic/Reading Presenter
Feb. 3 Redundancy reduction, whitening, and power spectrum of natural images
  • Barlow: Theory of redundancy reduction paper
  • Atick: Theory of whitening paper
  • Field: 1/f2 power spectrum and sparse coding paper

Anthony DiFranco
Dylan Paiton
Michael Levy

Feb. 10 Whitening in time and color; Robust coding
  • Dong & Atick: spatiotemporal power spectrum of natural movies
  • Ruderman: statistics of cone responses
  • Karklin & Simoncelli: noisy population coding of natural images
Feb. 17 ** Holiday **
Feb. 24 Higher-order statistics and sparse coding
  • Barlow (1972)
  • Field (1994)
  • Bell & Sejnowski (1996)
March 3 ICA and sparse coding
  • Olshausen & Field (1997)
  • Bell & Sejnowski (1997)
March 10 Statistics of natural sound and auditory coding
  • Clark & Voss: '1/f noise and music'
  • Smith & Lewicki: sparse coding of natural sound
  • Klein/Deweese: ICA/sparse coding of spectrograms
March 17 Higher-order group structure
  • Geisler: contour statistics
  • Hyvarinen: subspace ICA/topgraphic ICA
  • Lyu & Simoncelli: radial Gaussianization
March 24 Energy-based models
  • Osindero & Hinton
  • Roth & Black
March 31 ** Spring recess **
April 7 Learning invariances through 'slow feature analysis'
  • Foldiak/Wiskott: slow feature analysis
  • Hyvarinen: 'Bubbles'
  • Berkes et al.
April 14 Manifold and Lie group models
April 21 Hierarchical models
  • Shan & Cottrell: stacked ICA
April 28 Deep network models
May 5
May 12
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