Progressive kernel extreme learning machine for food image analysis via optimal features from quality resilient CNN

• Main Authors: Tahir, Ghalib Ahmed, Loo, Chu Kiong
• Format: Article
• Published: MDPI 2021
• Subjects: QA75 Electronic computers. Computer science; QC Physics; QD Chemistry; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/35345/

Recently, food recognition has received more research attention for mHealth applications that use automated visual-based methods to assess dietary intake. The goal is to improve the food diaries by addressing the challenges faced by existing methodologies. In addition to the classical challenge of t...