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Decision forests for computer vision and medical image analysis

Decision forests for computer vision and medical image analysis

자료유형
단행본
개인저자
Criminisi, Antonio, 1972-. Shotton, J. (Jamie),
서명 / 저자사항
Decision forests for computer vision and medical image analysis / A. Criminisi, J. Shotton, editors.
발행사항
London : Springer, 2013.
형태사항
xix, 368 p. : ill. ; 24 cm.
총서사항
Advances in computer vision and pattern recognition,2191-6586
ISBN
9781447149286 (hbk.) 1447149289 (hbk.)
일반주기
"ISSN 2191-6594 (electronic)" -- title page verso.
서지주기
Includes bibliographical references and index.
일반주제명
Computer vision. Computer vision in medicine. Decision making -- Data processing.
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020 ▼a 9781447149286 (hbk.)
020 ▼a 1447149289 (hbk.)
020 ▼z 9781447149293 (eBook)
035 ▼a (KERIS)BIB000013243017
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084 ▼a 006.37 ▼2 DDCK
090 ▼a 006.37 ▼b D294
245 0 0 ▼a Decision forests for computer vision and medical image analysis / ▼c A. Criminisi, J. Shotton, editors.
260 ▼a London : ▼b Springer, ▼c 2013.
300 ▼a xix, 368 p. : ▼b ill. ; ▼c 24 cm.
490 0 ▼a Advances in computer vision and pattern recognition, ▼x 2191-6586
500 ▼a "ISSN 2191-6594 (electronic)" -- title page verso.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Computer vision.
650 0 ▼a Computer vision in medicine.
650 0 ▼a Decision making ▼x Data processing.
700 1 ▼a Criminisi, Antonio, ▼d 1972-.
700 1 ▼a Shotton, J. ▼q (Jamie),

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/학과비치/ 청구기호 컴퓨터정보학과 006.37 D294 등록번호 151322587 도서상태 대출불가(열람가능) 반납예정일 예약 서비스
No. 2 소장처 세종학술정보원/학과비치/ 청구기호 컴퓨터정보학과 006.37 D294 등록번호 151322588 도서상태 대출불가(열람가능) 반납예정일 예약 서비스

컨텐츠정보

저자소개

A. Criminisi(엮은이)

J. Shotton(엮은이)

정보제공 : Aladin

목차

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. Maree, 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 Moller, 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


정보제공 : Aladin

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