84 search results - page 5 / 17 » Asynchronous Distributed Learning of Topic Models |
MM
2009
ACM
14 years 3 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
NIPS
2003
13 years 10 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
AAAI
2010
13 years 6 months ago
2010
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...