Learning Nonparametric Kernel Matrices from Pairwise Constraints

• Main Authors: HOI, Steven C. H., JIN, Rong, LYU, Michael R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Constraint theory; Laplace equation; Linear systems; Parameter estimation; Problem solving; Kernel matrices; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2384; https://ink.library.smu.edu.sg/context/sis_research/article/3384/viewcontent/537.pdf
• Institution: Singapore Management University

Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Some kernel learning methods assume the target kernel matrix to be a linear combination of parametric kernel matrices. This...