Criminisi, A.
Decision Forests for Computer Vision and Medical Image Analysis
1. Overview and Scope
A. Criminisi, J. Shotton
2. Notation and Terminology
A. Criminisi, J. Shotton
3. Introduction: The Abstract Forest Model
A. Criminisi, J. Shotton
4. Classification Forests
A. Criminisi, J. Shotton
5. Regression Forests
A. Criminisi, J. Shotton
6. Density Forests
A. Criminisi, J. Shotton
7. Manifold Forests
A. Criminisi, J. Shotton
8. Semi-supervised Classification Forests
A. Criminisi, J. Shotton
9. Keypoint Recognition Using Random Forests and Random Ferns
V. Lepetit, P. Fua
10. Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval
R. Marée, L. Wehenkel, P. Geurts
11. Class-Specific Hough Forests for Object Detection
J. Gall, V. Lempitsky
12. Hough-Based Tracking of Deformable Objects
M. Godec, P. M. Roth, H. Bischof
13. Efficient Human Pose Estimation from Single Depth Images
J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore, P. Kohli, A. Criminisi, A. Kipman, A. Blake
14. Anatomy Detection and Localization in 3D Medical Images
A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus, A. Martinez Möller, S. G. Nekolla, N. Navab
15. Semantic Texton Forests for Image Categorization and Segmentation
M. Johnson, J. Shotton, R. Cipolla
16. Semi-supervised Video Segmentation Using Decision Forests
V. Badrinarayanan, I. Budvytis, R. Cipolla
17. Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI
E. Geremia, D. Zikic, O. Clatz, B. H. Menze, B. Glocker, E. Konukoglu, J. Shotton, O. M. Thomas, S. J. Price, T. Das, R. Jena, N. Ayache, A. Criminisi
18. Manifold Forests for Multi-modality Classification of Alzheimer’s Disease
K. R. Gray, P. Aljabar, R. A. Heckemann, A. Hammers, D. Rueckert
19. Entanglement and Differentiable Information Gain Maximization
A. Montillo, J. Tu, J. Shotton, J. Winn, J. E. Iglesias, D. N. Metaxas, A. Criminisi
20. Decision Tree Fields: An Efficient Non-parametric Random Field Model for Image Labeling
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, P. Kohli
21. Efficient Implementation of Decision Forests
J. Shotton, D. Robertson, T. Sharp
22. The Sherwood Software Library
D. Roberston, J. Shotton, T. Sharp
23. Conclusions
A. Criminisi, J. Shotton
Keywords: Computer Science, Pattern Recognition, Artificial Intelligence (incl. Robotics)
- Author(s)
- Criminisi, A.
- Shotton, J.
- Publisher
- Springer
- Publication year
- 2013
- Language
- en
- Edition
- 2013
- Series
- Advances in Computer Vision and Pattern Recognition
- Page amount
- 19 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9781447149293