Research Article
Adaptive-Weighted Multiview Deep Basis Matrix Factorization for Multimedia Data Analysis
Algorithm 1
The optimization algorithm.
Input: | Multiview nonnegative matrix | The hidden features of each layer | Initialize: | The basis matrix for each view | The coefficient matrix for each view | Pretrain: | for do | for do | | end for | end for | Update: | Repeat | for do | for do | if | | else | | end | Update | Update | end for | end for | Until Reach the convergence condition or the maximum number of iterations | Output: | The basis matrix for each view | The coefficient matrix for each view |
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