Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3196444
Abstract: Matrix factorization (MF) methods decompose a data matrix into a product of two-factor matrices (denoted as U and V ) which are with low ranks. In this article, we propose a generative latent variable model… read more here.
Keywords: finite mixture; matrix factorization; data matrix; probabilistic matrix ... See more keywords
Restoring the Duality between Principal Components of a Distance Matrix and Linear Combinations of Predictors, with Application to Studies of the Microbiome
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0168131
Abstract: Appreciation of the importance of the microbiome is increasing, as sequencing technology has made it possible to ascertain the microbial content of a variety of samples. Studies that sequence the 16S rRNA gene, ubiquitous in… read more here.
Keywords: linear combinations; distance matrix; data matrix; distance ... See more keywords
State Space-Based Method for the DOA Estimation by the Forward-Backward Data Matrix Using Small Snapshots
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electronics and Telecommunications"
DOI: 10.1515/eletel-2017-0042
Abstract: In this presentation, a new low computational burden method for the direction of arrival (DOA) estimation from noisy signal using small snapshots is presented. The approach introduces State Space-based Method (SSM) to represent the received… read more here.
Keywords: data matrix; state space; method; doa ... See more keywords