High-order relationship is used to discover the structure of cross-modal data.
A kernel version is developed to deal with the nonlinear cross-modal correlation.
Both supervised and unsupervised scenarios are considered for cross-modal learning.
High-order, semantic and nonlinear is included for cross-modal correlation.