Collaborative error reduction for hierarchical classification

• Main Authors: ZHU, Shiai, WEI, Xiao-Yong, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Concept detection; Large-scale hierarchy; Error propagation; Computer Sciences; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6355; https://ink.library.smu.edu.sg/context/sis_research/article/7358/viewcontent/1_s2.0_S1077314214000769_main.pdf
• Institution: Singapore Management University

Hierarchical classification (HC) is a popular and efficient way for detecting the semantic concepts from the images. The conventional method always selects the branch with the highest classification response. This branch selection strategy has a risk of propagating classification errors from higher...