Table 1.
Model Specification | |
---|---|
Notation | Meaning |
X(v) ∈ ℝDv×N | feature matrix of the vth view |
Y ∈ℝC×N | label matrix |
Z(v) ∈ ℝK×N | latent representation for the vth view |
P(v) ∈ ℝK×N | projection corresponding to the vth view |
S ∈ ℝC×VK | classification model |
𝓚 ∈ ℝK×N×V | tensor of kernel matrices |
𝓖 ∈ ℝK×N×V | auxiliary variables in tensor form |
𝓦 ∈ ℝK×N×V | Lagrange multiplier in tensor form |
K(m)/G(m) | unfolded matrix of tensor 𝓚/𝓖 |
μ > 0 | penalty hyperparameter for constraints |