Abstract. We propose the application of a recently developed non- parametric Bayesian method for factor analysis to the problem of word discovery from ...
Beta Process Factor Analysis (BPFA) is able to estimate the size of the basis, and therefore the num- ber of recurring patterns, or word candidates, found in ...
Jan 2, 2013 · We propose the application of a recently developed non-parametric Bayesian method for factor analysis to the problem of word discovery from ...
[PDF] Word Discovery with Beta Process Factor Analysis | Semantic ...
www.semanticscholar.org › paper
This work proposes the application of a recently developed non-parametric Bayesian method for factor analysis to the problem of word discovery from ...
Word discovery with beta process factor analysis. N Vanhainen, G Salvi ... Discovering Words from Continuous Speech–A study of two factor analysis methods.
We experimented with two methods of latent factor analysis; the Non-Negative Matrix Factorization (NNMF) and the Beta Process Factor Analysis (BPFA). By ...
Word discovery with beta process factor analysis. N Vanhainen, G Salvi ... Discovering Words from Continuous Speech–A study of two factor analysis methods.
Similar to the use of beta process in nonparametric factor analysis, hierarchical beta process is used for a nonparametric hierarchical factor analysis (NHFA).
This beta process factor analysis (BP- FA) model allows for a dataset to be decom- posed into a linear combination of a sparse set of factors, providing ...
Missing: Word | Show results with:Word