On the sampling of web images for learning visual concept classifiers
Visual concept learning often requires a large set of training images. In practice, nevertheless, acquiring noise-free training labels with sufficient positive examples is always expensive. A plausible solution for training data collection is by sampling the largely available user-tagged images from...
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Main Authors: | ZHU, Shiai, WANG, Gang, NGO, Chong-wah, JIANG, Yu-Gang |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2010
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6479 https://ink.library.smu.edu.sg/context/sis_research/article/7482/viewcontent/On_the_sampling_of_web_images_for_learning_visual_concept_classifiers.pdf |
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Institution: | Singapore Management University |
Language: | English |
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