The new Spearman correlation coefficient matrix can be calculated after optimizing the updated problem formulation obtained in the second step.
The most interesting change is new controls that let users optimize the way they get updates from circles and friends in their update streams.
To further reduce the complexity of the proposed solution, the paper suggests optimizing the construction, the update, and the dimension of the graph.
To optimize the objective function, the corresponding updating rules for the algorithm are then derived analytically.
Similar to GoDec, the optimization problem of (3) can be solved by alternatively optimizing the following two subproblems until convergence: (5a) L t = arg min L ∗ X − L − S t − 1 F 2, (5b) S t = arg min card (S ) ≤ k X − L t − S F 2. In each iteration, we optimize the objective function by alternatively updating L and S. Firstly, the subproblem (5a) can be solved by [ 14].
To optimize the mean-field approximation, each variable update needs to reduce the relative entropy (KL-divergence) between the estimated and the true distribution [15].
The basic IVA framework was originally introduced in [13, 14], this method used Kullback-Leibler (KL) divergence, which is completely equivalent to mutual information of the sources, as an objective function, with a natural gradient-based updating rule to optimize the demixing matrices frequency bin-by-frequency bin.
We propose the methods of teaching reform as guided by market demand, update the teaching content, optimize the teaching methods, reform the teaching practice, strengthen the teacher-student exchange and promote teachers and students together.
In [7], another flexible intra macroblock update algorithm was investigated to optimize the expected rate-distortion performance.
