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Multi-distance Support Matrix Machines
We demonstrate the merits of the proposed method by conducting exhaustive experiments on both simulation study and a number of real-word datasets.
A Nonlinear Kernel Support Matrix Machine for Matrix Learning
In many problems of supervised tensor learning (STL), real world data such as face images or MRI scans are naturally represented as matrices, which are also called as second order tensors.
The Matrix Hilbert Space and Its Application to Matrix Learning
Here, we present a new framework, namely matrix Hilbert space to perform a matrix inner product space when data observations are represented as matrices.
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