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106
Voted
NIPS
2008
15 years 1 months ago
2008
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
ICML
2007
IEEE
16 years 15 days 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...
ICML
2006
IEEE
16 years 15 days ago
2006
IEEE
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
EMNLP
2008
15 years 1 months ago
2008
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...