Integrating semantic templates with decision tree for image semantic learning

• Main Authors: LIU, Ying, ZHANG, Dengsheng, LU, Guojun, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: decision tree; image feature discretization; image semantic learning; semantic template; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6876; https://ink.library.smu.edu.sg/context/sis_research/article/7879/viewcontent/Integrating_semantic_templates_with_decision_tree_for_image_semantic_learning.pdf
• Institution: Singapore Management University

Decision tree (DT) has great potential in image semantic learning due to its simplicity in implementation and its robustness to incomplete and noisy data. Decision tree learning naturally requires the input attributes to be nominal (discrete). However, proper discretization of continuous-valued imag...