Sampling and ontologically pooling web images for visual concept learning

Sampling and ontologically pooling web images for visual concept learning

Sufficient training examples are essential for effective learning of semantic visual concepts. In practice, however, acquiring noise-free training examples has always been expensive. Recently the rapid popularization of social media websites, such as Flickr, has made it possible to collect training...

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Bibliographic Details
Main Authors: ZHU, Shiai, NGO, Chong-wah, JIANG, Yu-Gang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Training set construction
visual concept learning
web images
Computer Sciences
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6340
https://ink.library.smu.edu.sg/context/sis_research/article/7343/viewcontent/tmm12_trainingset.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/6340
https://ink.library.smu.edu.sg/context/sis_research/article/7343/viewcontent/tmm12_trainingset.pdf

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