## Tracking with Kernelized Correlation Filters Code author : Tomas Vojir ________________ This is a C++ reimplementation of algorithm presented in "High-Speed Tracking with Kernelized Correlation Filters" paper. For more info and implementation in
In the context of supervised tensor learning, preserving the structural information and exploiting the discriminative nonlinear relationships of
tensor data are crucial for improving the performance of learning tasks. Based on tensor factorization t
