Semisupervised SVM batch mode active learning with applications to image retrieval

• Main Authors: HOI, Steven C. H., JIN, Rong, ZHU, Jianke, LYU, Michael R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Active learning; Batch mode active learning; Content-based image retrieval; Human-computer interaction; Semisupervised learning; Support vector machines; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2305; https://ink.library.smu.edu.sg/context/sis_research/article/3305/viewcontent/TOIS_2008_0027_publish.pdf
• Institution: Singapore Management University

Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learning is popular for its application to relevance feedback in CBIR. However, the regular SVM active learning has two main dr...