Distance based image classification: A solution to generative classification’s conundrum?

• Main Authors: LIN, Wen-yan, LIU, Siying, DAI, Bing Tian, LI, Hongdong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: incremental learning; high dimensions; statistics; shell theory; generative classifiers; anomalydetection; nearest neighbor; distance; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7309; https://ink.library.smu.edu.sg/context/sis_research/article/8312/viewcontent/template173.pdf
• Institution: Singapore Management University

Most classifiers rely on discriminative boundaries that separate instances of each class from everything else. We argue that discriminative boundaries are counter-intuitive as they define semantics by what-they-are-not; and should be replaced by generative classifiers which define semantics by what-...