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- 2012008187 contributor B12436440.
- 2012008187 created "2012.".
- 2012008187 date "2012".
- 2012008187 date "2012.".
- 2012008187 dateCopyrighted "2012.".
- 2012008187 description "Includes bibliographical references (p. 533-566) and index.".
- 2012008187 description "Machine generated contents note: Part I. Probability: 1. Introduction to probability; 2. Common probability distributions; 3. Fitting probability models; 4. The normal distribution; Part II. Machine Learning for Machine Vision: 5. Learning and inference in vision; 6. Modeling complex data densities; 7. Regression models; 8. Classification models; Part III. Connecting Local Models: 9. Graphical models; 10. Models for chains and trees; 11. Models for grids; Part IV. Preprocessing: 12. Image preprocessing and feature extraction; Part V. Models for Geometry: 13. The pinhole camera; 14. Models for transformations; 15. Multiple cameras; Part VI. Models for Vision: 16. Models for style and identity; 17. Temporal models; 18. Models for visual words; Part VII. Appendices: A. Optimization; B. Linear algebra; C. Algorithms.".
- 2012008187 extent "xi, 580 p. :".
- 2012008187 identifier "9781107011793 (hardback)".
- 2012008187 identifier 9781107011793.jpg.
- 2012008187 issued "2012".
- 2012008187 issued "2012.".
- 2012008187 language "eng".
- 2012008187 publisher "New York : Cambridge University Press,".
- 2012008187 subject "006.3/7 23".
- 2012008187 subject "COMPUTERS / Computer Graphics. bisacsh".
- 2012008187 subject "Computer vision.".
- 2012008187 subject "TA1634 .P75 2012".
- 2012008187 tableOfContents "Machine generated contents note: Part I. Probability: 1. Introduction to probability; 2. Common probability distributions; 3. Fitting probability models; 4. The normal distribution; Part II. Machine Learning for Machine Vision: 5. Learning and inference in vision; 6. Modeling complex data densities; 7. Regression models; 8. Classification models; Part III. Connecting Local Models: 9. Graphical models; 10. Models for chains and trees; 11. Models for grids; Part IV. Preprocessing: 12. Image preprocessing and feature extraction; Part V. Models for Geometry: 13. The pinhole camera; 14. Models for transformations; 15. Multiple cameras; Part VI. Models for Vision: 16. Models for style and identity; 17. Temporal models; 18. Models for visual words; Part VII. Appendices: A. Optimization; B. Linear algebra; C. Algorithms.".
- 2012008187 title "Computer vision : models, learning, and inference / Simon J.D. Prince.".
- 2012008187 type "text".
