Detalles del Título
Detalles del Título

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Título Decision forests for computer vision and medical image analysisLibros / Impreso - Libros
Autor(es) Criminisi, Antonio (Autor)
Shotton, J (Editor)
Publicación Estados Unidos : Springer-Verlag, 2013
Descripción Física xix, 368 p. : il., col. : pasta dura ; 25 cm.
Idioma Inglés;
Series Advances in computer vision and pattern recognition.
ISBN 9781447149286
Clasificación(es) 621.3
Materia(s) Árboles de decisión; Visión por computador; Procesamiento de imágenes; Diagnóstico por imágenes; Inteligencia artificial; Sistemas expertos (Computadores); Métodos gráficos; Técnicas digitales;
Nota(s) CONTENIDO: Overview and Scope -- Notation and Terminology -- The Decision Forest Model -- Introduction: the abstract forest model -- Classification Forests -- Regression Forests -- Density Forests -- Manifold Forests -- Semi- Supervised Classification Forests -- Applications in Computer Vision and Medical Image Analysis -- Keypoint Recognition Using Random Forests and Random Ferns -- Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval -- Class- Specific Hough Forests for Object Detection -- Hough-Based Tracking of Deformable Objects --
Efficient Human Pose Estimation from Single Depth Images -- Anatomy Detection and Localization in 3D Medical Images -- Semantic texton forests for image categoriazation and segmentation -- Semi-Supervised Video Segmentation Using Decision Forests -- Classification Forests for Semantic egmentation of Brain Lesions in Multi-Channel MRI -- Manifold Forests for Multi-Modality Classification of Alzheimer’s Disease -- Entangled Forests and Differentiable Information Gain Maximization -- Decision Tree Fields:an efficient no-parametric random field model for image labeling
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