34 search results - page 3 / 7 » Document clustering via dirichlet process mixture model with... |
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ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
PRL
2006
14 years 9 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
EMNLP
2010
14 years 7 months ago
2010
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
EMNLP
2010
14 years 7 months ago
2010
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...