Decision forests for computer vision and medical image analysis /
Decision forests (also known as random forests) are an indispensable tool for automatic image analysis. 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....
Salvato in:
Ente Autore: | SpringerLink (Online service) |
---|---|
Altri autori: | Shotton, J. (Redattore) |
Natura: | eBook |
Lingua: | English |
Pubblicazione: |
London
Springer London Imprint: Springer,
2013.
|
Serie: | Advances in Computer Vision and Pattern Recognition,
|
Soggetti: | |
Accesso online: | Click here to view the full text content |
Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|
Documenti analoghi
-
Real-Time Vision for Human-Computer Interaction
di: KisaÄanin, Branislav
Pubblicazione: (2005) -
Brain, vision, and artificial intelligence first International Symposium, BVAI 2005, Naples, Italy, October 19-21, 2005, Proceedings
Pubblicazione: (2005) -
Computer vision systems 7th international conference on computer vision systems, ICVS 2009 Li©·ge, Belgium, October 13-15, 2009. Proceedings /
di: Fritz, Mario
Pubblicazione: (2009) -
Image analysis and processing - ICIAP 2005 13th International Conference, Cagliari, Italy, September 6-8, 2005, Proceedings
di: Roli, Fabio
Pubblicazione: (2005) -
Progress in pattern recognition, image analysis, computer vision, and applications : 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings /
Pubblicazione: (2014)