47 search results - page 1 / 10 » Improving Probabilistic Latent Semantic Analysis with Princi... |
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
EWMF
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We show that eigenvector decomposition can be used to extract a term taxonomy from a given collection of text documents. So far, methods based on eigenvector decompositio...
NIPS
2007
13 years 6 months ago
2007
An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...