MARC details
| 000 -LEADER |
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| fixed length control field |
04425nam a2200577 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
610600000035 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m e d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cn |||m|||a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
120416s2012 maua fsab 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781601985415 (electronic) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781601985408 (print) |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1561/0600000035 |
| Source of number or code |
doi |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
CaBNVSL |
| Transcribing agency |
CaBNVSL |
| Modifying agency |
CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA166.2 |
| Item number |
.C753 2012 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
511/.52 |
| Edition number |
23 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(CaBNVSL)slc00228586 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Criminisi, Antonio, |
| Dates associated with a name |
1972- |
| 9 (RLIN) |
95589 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Decision forests |
| Medium |
[electronic resource] : |
| Remainder of title |
a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning / |
| Statement of responsibility, etc. |
Antonio Criminisi, Jamie Shotton, and Ender Konukoglu. |
| 246 30 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Hanover, Mass. : |
| Name of publisher, distributor, etc. |
Now Publishers, |
| Date of publication, distribution, etc. |
c2012. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 electronic text ([81]-227 p.) : |
| Other physical details |
ill. (some col.), digital file. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Foundations and trends in computer graphics and vision, |
| International Standard Serial Number |
1572-2759 ; |
| Volume/sequential designation |
v. 7, issue 2-3, p. 81-227 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (p. 221-227). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Overview and scope -- 2. The random decision forest model -- 3. Classification forests -- 4. Regression forests -- 5. Density forests -- 6. Manifold forests -- 7. Semi-supervised forests -- 8. Random ferns and other forest variants -- Appendix A. Deriving the regression information gain -- Acknowledgements. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Restricted to subscribers or individual document purchasers. |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google Scholar |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Google Book Search |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
INSPEC |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Scopus |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
ACM Computing Guide |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
DBPLP Computer Science Bibliography |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
Zentralblatt MATH Database |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
AMS MathSciNet |
| 510 0# - CITATION/REFERENCES NOTE |
|---|
| Name of source |
ACM Computing Reviews |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
This review presents a unified, efficient model of random decision forests which can be applied to a number of machine learning, computer vision, and medical image analysis tasks. Our model extends existing forest-based techniques as it unifies classification, regression, density estimation, manifold learning, semi-supervised learning, and active learning under the same decision forest framework. This gives us the opportunity to write and optimize the core implementation only once, with application to many diverse tasks. The proposed model may be used both in a discriminative or generative way and may be applied to discrete or continuous, labeled or unlabeled data. |
| 520 8# - SUMMARY, ETC. |
|---|
| Summary, etc. |
The main contributions of this review are: (1) Proposing a unified, probabilistic and efficient model for a variety of learning tasks; (2) Demonstrating margin-maximizing properties of classification forests; (3) Discussing probabilistic regression forests in comparison with other nonlinear regression algorithms; (4) Introducing density forests for estimating probability density functions; (5) Proposing an efficient algorithm for sampling from a density forest; (6) Introducing manifold forests for nonlinear dimensionality reduction; (7) Proposing new algorithms for transductive learning and active learning. Finally, we discuss how alternatives such as random ferns and extremely randomized trees stem from our more general forest model. |
| 524 ## - PREFERRED CITATION OF DESCRIBED MATERIALS NOTE |
|---|
| Preferred citation of described materials note |
Antonio Criminisi, Jamie Shotton and Ender Konukoglu (2012) "Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning", Foundations and Trendsʼ in Computer Graphics and Vision: Vol. 7: No 2-3, pp 81-227. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat Reader. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Title from PDF (viewed on 16 April 2012). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision trees. |
| 9 (RLIN) |
28270 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Expert systems (Computer science) |
| General subdivision |
Design. |
| 9 (RLIN) |
95590 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision support systems. |
| 9 (RLIN) |
17448 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Logic programming. |
| 9 (RLIN) |
6178 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| General subdivision |
Decision making. |
| 9 (RLIN) |
95591 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shotton, Jamie. |
| 9 (RLIN) |
95592 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Konukoglu, Ender. |
| 9 (RLIN) |
95593 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Foundations and trends in computer graphics and vision (Online), |
| International Standard Serial Number |
1572-2759 ; |
| Volume number/sequential designation |
v. 7, issue 2-3, p. 81-227. |
| 9 (RLIN) |
95594 |
| 856 48 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Abstract with links to full text: |
| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1561/0600000035">http://dx.doi.org/10.1561/0600000035</a> |