A non-parametric visual-sense model of images: Extending the cluster hypothesis beyond text

• Main Authors: WAN, Kong-Wah, TAN, Ah-hwee, LIM, Joo-Hwee, CHIA, Liang-Tien
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Hierarchical Dirichlet Process; Non-parametric models; Image clustering; Sense disambiguation; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5204; https://ink.library.smu.edu.sg/context/sis_research/article/6207/viewcontent/Wan2012_Article_ANon_parametricVisual_senseMod.pdf
• Institution: Singapore Management University

The main challenge of a search engine is to find information that are relevant and appropriate. However, this can become difficult when queries are issued using ambiguous words. Rijsbergen first hypothesized a clustering approach for web pages wherein closely associated pages are treated as a semant...