Author of the publication

Unsupervised Learning of Nonlinear Mixtures: Identifiability and Algorithm.

, , , and . ACSSC, page 1040-1044. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Learning Nonlinear Mixtures: Identifiability and Algorithm., , , and . CoRR, (2019)Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications., , , and . IEEE Signal Process. Mag., 36 (2): 59-80 (2019)Feasible Point Pursuit and Successive Approximation of Non-Convex QCQPs., , , , and . IEEE Signal Process. Lett., 22 (7): 804-808 (2015)On Identifiability of Nonnegative Matrix Factorization., , and . IEEE Signal Process. Lett., 25 (3): 328-332 (2018)Consensus-ADMM for General Quadratically Constrained Quadratic Programming., and . IEEE Trans. Signal Process., 64 (20): 5297-5310 (2016)Block-randomized Stochastic Proximal Gradient for Constrained Low-rank Tensor Factorization., , , and . ICASSP, page 7485-7489. IEEE, (2019)On Identifiability of Nonnegative Matrix Factorization., , and . CoRR, (2017)A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization., , and . CoRR, (2015)An adaptive machine learning algorithm for the resource-constrained classification problem., , , , and . Eng. Appl. Artif. Intell., (March 2023)Kullback-Leibler principal component for tensors is not NP-hard., and . ACSSC, page 693-697. IEEE, (2017)