A deep matrix factorization method for learning attribute representations

George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou +1

Semi-Non-negative Matrix Factorization is a technique that learns a low-dimensional representation of a dataset that lends itself to a clustering interpretation. It is possible tha…