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