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HOW MANY MORE IMAGES DO WE NEED? PERFORMANCE PREDICTION OF BOOTSTRAPPING FOR IMAGE CLASSIFICATION

Chatzilari, E, Nikolopoulos, S, Kompatsiaris, Y and Kittler, J (2014) HOW MANY MORE IMAGES DO WE NEED? PERFORMANCE PREDICTION OF BOOTSTRAPPING FOR IMAGE CLASSIFICATION In: IEEE International Conference on Image Processing (ICIP), 2014-10-27 - 2014-10-30, Paris, FRANCE.

Full text not available from this repository.
Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Chatzilari, EUNSPECIFIEDUNSPECIFIED
Nikolopoulos, SUNSPECIFIEDUNSPECIFIED
Kompatsiaris, YUNSPECIFIEDUNSPECIFIED
Kittler, Jj.kittler@surrey.ac.ukUNSPECIFIED
Date : 1 January 2014
Contributors :
ContributionNameEmailORCID
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Computer Science, Engineering, scalable concept detection, image classification, performance prediction, bootstrapping
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:53
Last Modified : 17 May 2017 15:13
URI: http://epubs.surrey.ac.uk/id/eprint/840709

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