Abstract:
In this article, a new constrained NMF model with Kullback–Leibler (KL) divergence is developed for data representation. It is called large basic cone and sparse represen...Show MoreMetadata
Abstract:
In this article, a new constrained NMF model with Kullback–Leibler (KL) divergence is developed for data representation. It is called large basic cone and sparse representation-constrained nonnegative matrix factorization with Kullback–Leibler divergence (conespaNMF_KL). It achieves sparseness from a large simplicial cone constraint on the base and sparse regularize on the extracted features.
Published in: IEEE Intelligent Systems ( Volume: 34, Issue: 4, 01 July-Aug. 2019)