Domain adaptation in computer vision applications / edited by Gabriela Csurka

Contributor(s):

Csurka, Gabriela [editor]

Material type: Text

TextLanguage: English Series: Advances in computer vision and pattern recognitionPublication details: Switzerland : Springer, 2017.Description: x, 344p. : ill ; 24 cmISBN:

9783319583464

Subject(s):

Computer vision. COMPUTERS -- General

DDC classification:

006.37 CSU/D

Summary: This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization but also other computer vision tasks such as detection

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Technical Reference Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	SES	006.37 CSU/D (Browse shelf(Opens below))	Available		9111

Total holds: 0

This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization but also other computer vision tasks such as detection

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