Coverart for item
The Resource Decision forests for computer vision and medical image analysis, A. Criminisi, J. Shotton, editors

Decision forests for computer vision and medical image analysis, A. Criminisi, J. Shotton, editors

Label
Decision forests for computer vision and medical image analysis
Title
Decision forests for computer vision and medical image analysis
Statement of responsibility
A. Criminisi, J. Shotton, editors
Contributor
Subject
Language
eng
Summary
This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests
Member of
Cataloging source
EBLCP
Dewey number
511.52
Index
index present
Language note
English
LC call number
QA166.2
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
QA 166.2
http://library.link/vocab/relatedWorkOrContributorDate
1972-
http://library.link/vocab/relatedWorkOrContributorName
  • Criminisi, Antonio
  • Shotton, J.
Series statement
Advances in Computer Vision and Pattern Recognition
http://library.link/vocab/subjectName
  • Decision trees
  • Computer vision
  • Image processing
  • Diagnostic imaging
  • Decision Trees
  • Artificial Intelligence
  • Image Processing, Computer-Assisted
  • Diagnosis, Computer-Assisted
  • MATHEMATICS
  • Computer vision
  • Decision trees
  • Diagnostic imaging
  • Image processing
Label
Decision forests for computer vision and medical image analysis, A. Criminisi, J. Shotton, editors
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • A. Criminisi, J. Shotton
  • Manifold Forests
  • A. Criminisi, J. Shotton
  • Semi-supervised Classification Forests
  • A. Criminisi, J. Shotton
  • Applications in Computer Vision and Medical Image Analysis
  • Keypoint Recognition Using Random Forests and Random Ferns
  • V. Lepetit, P. Fua
  • Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval
  • R. Marée, L. Wehenkel, P. Geurts
  • The Decision Forest Model
  • Class-Specific Hough Forests for Object Detection
  • J. Gall, V. Lempitsky
  • Hough-Based Tracking of Deformable Objects
  • M. Godec, P.M. Roth, H. Bischof
  • Efficient Human Pose Estimation from Single Depth Images
  • J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore
  • Anatomy Detection and Localization in 3D Medical Images
  • A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus
  • Semantic Texton Forests for Image Categorization and Segmentation
  • M. Johnson, J. Shotton, R. Cipolla
  • Introduction: The Abstract Forest Model
  • Semi-supervised Video Segmentation Using Decision Forests
  • V. Badrinarayanan, I. Budvytis, 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
  • Manifold Forests for Multi-modality Classification of Alzheimer's Disease
  • K.R. Gray, P. Aljabar, R.A. Heckemann, A. Hammers, D. Rueckert
  • Entanglement and Differentiable Information Gain Maximization
  • A. Montillo, J. Tu, J. Shotton, J. Winn, J.E. Iglesias, D.N. Metaxas, 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, P. Kohli
  • A. Criminisi, J. Shotton
  • Efficient Implementation of Decision Forests
  • J. Shotton, D. Robertson, T. Sharp
  • The Sherwood Software Library
  • D. Roberston, J. Shotton, T. Sharp
  • Conclusions
  • A. Criminisi, J. Shotton
  • Classification Forests
  • A. Criminisi, J. Shotton
  • Regression Forests
  • A. Criminisi, J. Shotton
  • Density Forests
Control code
827212143
Dimensions
unknown
Extent
1 online resource (366 pages).
File format
unknown
Form of item
online
Isbn
9781299336148
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4471-4929-3
http://library.link/vocab/ext/overdrive/overdriveId
464864
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)827212143
Label
Decision forests for computer vision and medical image analysis, A. Criminisi, J. Shotton, editors
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • A. Criminisi, J. Shotton
  • Manifold Forests
  • A. Criminisi, J. Shotton
  • Semi-supervised Classification Forests
  • A. Criminisi, J. Shotton
  • Applications in Computer Vision and Medical Image Analysis
  • Keypoint Recognition Using Random Forests and Random Ferns
  • V. Lepetit, P. Fua
  • Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval
  • R. Marée, L. Wehenkel, P. Geurts
  • The Decision Forest Model
  • Class-Specific Hough Forests for Object Detection
  • J. Gall, V. Lempitsky
  • Hough-Based Tracking of Deformable Objects
  • M. Godec, P.M. Roth, H. Bischof
  • Efficient Human Pose Estimation from Single Depth Images
  • J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore
  • Anatomy Detection and Localization in 3D Medical Images
  • A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus
  • Semantic Texton Forests for Image Categorization and Segmentation
  • M. Johnson, J. Shotton, R. Cipolla
  • Introduction: The Abstract Forest Model
  • Semi-supervised Video Segmentation Using Decision Forests
  • V. Badrinarayanan, I. Budvytis, 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
  • Manifold Forests for Multi-modality Classification of Alzheimer's Disease
  • K.R. Gray, P. Aljabar, R.A. Heckemann, A. Hammers, D. Rueckert
  • Entanglement and Differentiable Information Gain Maximization
  • A. Montillo, J. Tu, J. Shotton, J. Winn, J.E. Iglesias, D.N. Metaxas, 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, P. Kohli
  • A. Criminisi, J. Shotton
  • Efficient Implementation of Decision Forests
  • J. Shotton, D. Robertson, T. Sharp
  • The Sherwood Software Library
  • D. Roberston, J. Shotton, T. Sharp
  • Conclusions
  • A. Criminisi, J. Shotton
  • Classification Forests
  • A. Criminisi, J. Shotton
  • Regression Forests
  • A. Criminisi, J. Shotton
  • Density Forests
Control code
827212143
Dimensions
unknown
Extent
1 online resource (366 pages).
File format
unknown
Form of item
online
Isbn
9781299336148
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4471-4929-3
http://library.link/vocab/ext/overdrive/overdriveId
464864
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)827212143

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