Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
type: Item
instance of: scholarly article
zbMATH Open document ID: 1243.68235
DOI: 10.1561/0600000035
author: Antonio Criminisi
author: Jamie Shotton
author: Ender Konukoglu
publication date: 2012-08-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68-02
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 6063655
zbMATH Keywords: decision forests
zbMATH Keywords: machine learning
zbMATH Keywords: computer vision
zbMATH Keywords: classification
zbMATH Keywords: regression
zbMATH Keywords: density estimation
zbMATH Keywords: manifold learning
zbMATH Keywords: semi-supervised learning
Wikidata QID: Q60568855
describes a project that uses: SHOGUN
describes a project that uses: SVMlight
MaRDI profile type: Publication
OpenAlex ID: W4293171766
DBLP publication ID: journals/ftcgv/CriminisiSK12
title: Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
published in: Foundations and Trends in Computer Graphics and Vision
review text: The book presents a decision forest framework that encompasses classification, regression, density estimation, manifold learning and semi-supervised learning under the same roof. A general core was first developed and the different types of learning can be further instantiated from that in application to various tasks, ranging from scene and object recognition, automated medical diagnosis and semantic text parsing.NEWLINENEWLINENEWLINENEWLINEMany types of readers can enjoy this very interesting and practical book: from the students willing to know the foundation of decision forests and researchers updating their knowledge with new contributions to the field to practitioners working in the applicative fields targeted by this book. It can even be fascinating just for gratifying one's curiosity as to how is it that Kinect works so nice for Xbox 360.
reviewed by: Catalin Stoean
description: scientific article; zbMATH DE number 6063655