Convergent Projective Non-negative Matrix Factorization with KullbackLeibler Divergence
The problem of convergence for Projective Non-negative Matrix Factorization is solved. A new iterative formula for basis matrix is derived strictly. A proof of algorithm convergence is provided. The orthogonality and the sparseness of the basis matrix are better. There is higher recognition accuracy in face recognition.
convergence projective non-negative matrix factorization kullbackleibler divergence face recognition