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Aapo Hyvärinen, Jarmo Hurri and Patrik O. Hoyer
i-xix
Front matter
1-21
Part 1 / Introduction
Introduction
25-90
Part I / Background
25-49
Linear Filters and Frequency Analysis
51-66
Outline of the Visual System
67-90
Multivariate Probability and Statistics
93-196
Part II / Statistics of Linear Features
93-130
Principal Components and Whitening
131-150
Sparse Coding and Simple Cells
151-175
Independent Component Analysis
177-196
Information-Theoretic Interpretations
199-306
Part III / Nonlinear Features and Dependency of Linear Features
199-211
Energy Correlation of Linear Features and Normalization
213-237
Energy Detectors and Complex Cells
239-261
Energy Correlations and Topographic Organization
263-276
Dependencies of Energy Detectors: Beyond V1
277-293
Overcomplete and Non-negative Models
295-306
Lateral Interactions and Feedback
309-361
Part IV / Time, Color, and Stereo
309-323
Color and Stereo Images
325-361
Temporal Sequences of Natural Images
365-374
Part V / Conclusion
Conclusion and Future Prospects
377-426
Part VI / Appendix: Supplementary Mathematical Tools
377-397
Optimization Theory and Algorithms
399-405
Crash Course on Linear Algebra
407-418
The Discrete Fourier Transform
419-426
Estimation of Non-normalized Statistical Models
427-451
Back matter
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