On the sampling of web images for learning visual concept classifiers

• Main Authors: ZHU, Shiai, WANG, Gang, NGO, Chong-wah, JIANG, Yu-Gang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Concept detection; Sampling; Web images; Data Storage Systems; Graphics and Human Computer Interfaces
• 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
• Institution: Singapore Management University

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...