Articles liés à Decision Forests for Computer Vision and Medical Image...
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Synopsis
Overview and Scope
Notation and Terminology
Part I: The Decision Forest Model
Introduction: The Abstract Forest Model
Classification Forests
Regression Forests
Density Forests
Manifold Forests
Semi-Supervised Classification Forests
Part II: Applications in Computer Vision and Medical Image Analysis
Keypoint Recognition Using Random Forests and Random Ferns
V. Lepetit and P. Fua
Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval
R. Marée, L. Wehenkel and P. Geurts
Class-Specific Hough Forests for Object Detection
J. Gall and V. Lempitsky
Hough-Based Tracking of Deformable Objects
M. Godec, P. M. Roth and H. Bischof
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 and A. Blake
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 and N. Navab
Semantic Texton Forests for Image Categorization and Segmentation
M. Johnson, J. Shotton and R. Cipolla
Semi-Supervised Video Segmentation Using Decision Forests
V. Badrinarayanan, I. Budvytis and R. Cipolla
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 and A. Criminisi
Manifold Forests for Multi-Modality Classification of Alzheimer's Disease
K. R. Gray, P. Aljabar, R. A. Heckemann, A. Hammers and D. Rueckert
Entangled Forests and Differentiable Information Gain Maximization
A. Montillo, J. Tu, J. Shotton, J. Winn, J. E. Iglesias, D. N. Metaxas, and A. Criminisi
Decision Tree Fields: An Efficient Non-Parametric Random Field Model for Image Labeling
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao and P. Kohli
Part III: Implementation and Conclusion
Efficient Implementation of Decision Forests
J. Shotton, D. Robertson and T. Sharp
The Sherwood Software Library
D. Robertson, J. Shotton and T. Sharp
Conclusions
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